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WELCOME TO ACADEMIC TORRENTS DOCUMENTATION! Welcome to Academic Torrents documentation!¶ Contents: About. Team; Mission; Cite; Support; Legal; Thanks; Frequently Asked Questions. Cannot connect to trackerVIDEO LECTURES
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
MEDICAL - ACADEMIC TORRENTS 0. Ocular Disease Intelligent Recognition ODIR-5K. 3. 2019-11-25. 1.30GB. 263. 16+. 0. L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data) COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
IMAGENET - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. With JOE'S RECOMMENDED MIRROR LIST Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither hadIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
WELCOME TO ACADEMIC TORRENTS DOCUMENTATION! Welcome to Academic Torrents documentation!¶ Contents: About. Team; Mission; Cite; Support; Legal; Thanks; Frequently Asked Questions. Cannot connect to trackerVIDEO LECTURES
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
MEDICAL - ACADEMIC TORRENTS 0. Ocular Disease Intelligent Recognition ODIR-5K. 3. 2019-11-25. 1.30GB. 263. 16+. 0. L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data) COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
IMAGENET - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. With JOE'S RECOMMENDED MIRROR LIST Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither hadIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
GIVE - ACADEMIC TORRENTS Please consider adding this acknowledgement to your paper: " We thank AcademicTorrents.com for making data available for our research. We are a 501(c)3 non-profit corporation (EIN: 46-5721157) called the Institute for Reproducible Research so all donations are tax deductible.Academics Torrents was founded to address the needs of science in the era of big data. WELCOME TO ACADEMIC TORRENTS DOCUMENTATION! Welcome to Academic Torrents documentation! Edit on GitHub; Welcome to Academic Torrents documentation!¶ Contents: About. Team; Mission;Cite; Support;
ABOUT — ACADEMIC TORRENTS DOCUMENTATION 1.0 DOCUMENTATION About¶. Academics Torrents was founded to address the needs of science in the era of big data. It is a scalable platform using BitTorrent which distributes the cost of hosting data in order to prevent the rise and fall of dataset hosting providers and the erasure of the data they host.DOWNLOADING
From the command line¶. For downloading from the command line we provide a pure python client at-python which can be installed asfollows:
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
UPLOADING — ACADEMIC TORRENTS DOCUMENTATION 1.0 DOCUMENTATION Piece sizes¶. The piece size of a torrent is the size of the smallest chunk of the file that is sent between torrent clients. Valid sizesare powers of 2.
JANUARY 2021 PUBLIC DATA FILE FROM CROSSREF A data file of the public elements from Crossref’s 120+ million metadata records (in JSON format). Note that this Crossref metadata is always openly available. The difference here is that we’ve done the time-saving work of putting all of the records registered through 7th January 2021 into one file for download. To keep this metadata current, you can access new records via our public API COCO 2017 - COLLECTIONS - ACADEMIC TORRENTS Probably the most widely used dataset today for object localization is COCO: Common Objects in Context. Provided here are all the files from the 2017 version, along with an additional subset dataset created by fast.ai. Details of each COCO dataset is available from the COCO dataset page. The fast.ai subset contains all images that contain one of five selected categories, restricting objects to NIH CHEST X-RAY DATASET OF 14 COMMON THORAX DISEASE Fourteen common thoracic pathologies include Atelectasis, Consolidation, Infiltration, Pneumothorax, Edema, Emphysema, Fibrosis, Effusion, Pneumonia, Pleural_thickening, Cardiomegaly, Nodule, Mass and Hernia, which is an extension of the 8 common disease patterns listed in our CVPR2017 paper. IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTION @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
VIDEO LECTURES
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. WithIMAGENET 2012
ImageNet 2012. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educatorsIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither had IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTION @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
VIDEO LECTURES
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. WithIMAGENET 2012
ImageNet 2012. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educatorsIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither had IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTION @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http GIVE - ACADEMIC TORRENTS Please consider adding this acknowledgement to your paper: " We thank AcademicTorrents.com for making data available for our research. We are a 501(c)3 non-profit corporation (EIN: 46-5721157) called the Institute for Reproducible Research so all donations are tax deductible.Academics Torrents was founded to address the needs of science in the era of big data.VIDEO LECTURES
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
MEDICAL - ACADEMIC TORRENTS 0. Ocular Disease Intelligent Recognition ODIR-5K. 3. 2019-11-25. 1.30GB. 263. 16+. 0. L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data) LOGIN - ACADEMIC TORRENTS We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. EDUCATION - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
COURSERA - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
DEEP LEARNING
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
JOE'S RECOMMENDED MIRROR LIST Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
COCO 2017 - COLLECTIONS - ACADEMIC TORRENTS Probably the most widely used dataset today for object localization is COCO: Common Objects in Context. Provided here are all the files from the 2017 version, along with an additional subset dataset created by fast.ai. Details of each COCO dataset is available from the COCO dataset page. The fast.ai subset contains all images that contain one of five selected categories, restricting objects toPAPERS-PAST
Info hash: 7115cca454dae7ea3ac9e90e25407efb8fc0667f: Last mirror activity: 6:29:20 ago: Size: 251.12GB (251,117,461,591 bytes) Added: 2020-09-19 13:03:38: Views ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
EDUCATION - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. WithIMAGENET 2012
ImageNet 2012. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither hadIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTION @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
EDUCATION - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. WithIMAGENET 2012
ImageNet 2012. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither hadIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTION @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http GIVE - ACADEMIC TORRENTS Please consider adding this acknowledgement to your paper: " We thank AcademicTorrents.com for making data available for our research. We are a 501(c)3 non-profit corporation (EIN: 46-5721157) called the Institute for Reproducible Research so all donations are tax deductible.Academics Torrents was founded to address the needs of science in the era of big data. WELCOME TO ACADEMIC TORRENTS DOCUMENTATION! Welcome to Academic Torrents documentation!¶ Contents: About. Team; Mission; Cite; Support; Legal; Thanks; Frequently Asked Questions. Cannot connect to tracker LOGIN - ACADEMIC TORRENTS We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. MEDICAL - ACADEMIC TORRENTS 0. Ocular Disease Intelligent Recognition ODIR-5K. 3. 2019-11-25. 1.30GB. 253. 12+. 0. L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data)VIDEO LECTURES
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
EDUCATION - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
JOE'S RECOMMENDED MIRROR LIST Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET 2012
ImageNet 2012. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educatorsPAPERS-PAST
Info hash: 7115cca454dae7ea3ac9e90e25407efb8fc0667f: Last mirror activity: 1:21:31 ago: Size: 251.12GB (251,117,461,591 bytes) Added: 2020-09-19 13:03:38: ViewsHOCKEYFIGHTS.ZIP
announce https://academictorrents.com/announce.php. created by py3createtorrent v0.9.5. creation date Tue Feb 16 08:51:03 2016 info ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET - ACADEMIC TORRENTSIMAGENET BOUNDING BOXIMAGENET DATASET DOWNLOADIMAGENET TORRENTIMAGENET 1K DATASET DOWNLOAD Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
OXFORD TOWN CENTRE DATASET For a coarse gaze estimation system to be useful, many people must be tracked simultaneously in real-time and in the presence of frequent occlusions and other distractions such as animals or vehicles. Two tracking systems were developed, both of which were based on two important image measurements. The first measurement was the output of a head detector which was trained using Dalal & Trigg s JOE'S RECOMMENDED MIRROR LIST Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
CALTECH256 IMAGE DATASET Caltech256 Image Dataset - Academic Torrents. 256_ObjectCategories.tar. 1.18GB. Type: Dataset. Tags: Abstract: ==Overview 256 Object Categories + Clutter At least 80 images per category 30608 images instead of 9144. ==Caltech-101: Drawbacks Smallest category size is 31 images: Too easy? left-right aligned Rotation artifacts Soon will saturate LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. WithIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTIONIMAGENET ILSVRC 2012 DATASETIMAGENET 2012 DATASETIMAGENET 2012 LABELIMAGENET 2012IMAGENET TEST SETILSVRC 2012 DATASET @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http ACADEMIC TORRENTSUPLOADABOUTDONATELOGINCOLLECTIONS Making over 83TB of research data available! We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. Contact us at contact@academictorrents.com. View popular! Upload a dataset! DataServed.
COURSERA - ACADEMIC TORRENTS 0. Useful Genetics Part II by Rosemary Redfield (University of British Columbia) 57. 2016-07-14. 1.39GB. 558. 6. 0. Preventing Chronic Pain A Human Systems Approach (University ofMinnesota)
DATA SCIENCE
Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
IMAGENET - ACADEMIC TORRENTSIMAGENET BOUNDING BOXIMAGENET DATASET DOWNLOADIMAGENET TORRENTIMAGENET 1K DATASET DOWNLOAD Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
OXFORD TOWN CENTRE DATASET For a coarse gaze estimation system to be useful, many people must be tracked simultaneously in real-time and in the presence of frequent occlusions and other distractions such as animals or vehicles. Two tracking systems were developed, both of which were based on two important image measurements. The first measurement was the output of a head detector which was trained using Dalal & Trigg s JOE'S RECOMMENDED MIRROR LIST Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
CALTECH256 IMAGE DATASET Caltech256 Image Dataset - Academic Torrents. 256_ObjectCategories.tar. 1.18GB. Type: Dataset. Tags: Abstract: ==Overview 256 Object Categories + Clutter At least 80 images per category 30608 images instead of 9144. ==Caltech-101: Drawbacks Smallest category size is 31 images: Too easy? left-right aligned Rotation artifacts Soon will saturate LITS – LIVER TUMOR SEGMENTATION CHALLENGE (LITS17 The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions. WithIMAGENET LSVRC 2015
3. ImageNet LSVRC 2012 Training Set (Object Detection) 1. 2015-10-16. 147.90GB. 7,727. 55+. 8. ImageNet LSVRC 2013 Validation Set (ObjectDetection)
IMAGENET LSVRC 2012 TRAINING SET (OBJECT DETECTIONIMAGENET ILSVRC 2012 DATASETIMAGENET 2012 DATASETIMAGENET 2012 LABELIMAGENET 2012IMAGENET TEST SETILSVRC 2012 DATASET @article{, title= {ImageNet LSVRC 2012 Training Set (Object Detection)}, keywords= {imagenet, deep learning}, journal= {}, author= {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, year= {}, url= {}, license= {}, abstract= {See http GIVE - ACADEMIC TORRENTS Please consider adding this acknowledgement to your paper: " We thank AcademicTorrents.com for making data available for our research. We are a 501(c)3 non-profit corporation (EIN: 46-5721157) called the Institute for Reproducible Research so all donations are tax deductible.Academics Torrents was founded to address the needs of science in the era of big data. LOGIN - ACADEMIC TORRENTS We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds. SIGNUP - ACADEMIC TORRENTS Signup - Academic Torrents. Desired username: Pick a password: Enter password again: Email address: The email address must be valid. You will receive a confirmation email which you need to respond to. The email address won't be publicly shown anywhere. EDUCATION - ACADEMIC TORRENTS Collections are curated groups of entries. The goal is to provide a grouping of entries for a specific community, institution, orconference.
API — ACADEMIC TORRENTS DOCUMENTATION 1.0 DOCUMENTATION Curl Examples¶. To use the above API Key you can use curl. Curl is a simple way of sending data the server just to test that our API is working. Below is the curl command to test your API key on our server.DEEP LEARNING
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Recover lost user name or password. Use the form below to have your password reset and your account details mailed back to you. (You will have to reply to a confirmation email.) Registered email.IMAGENET 2012
ImageNet 2012. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators NIH PANCREAS-CT DATASET ### Summary The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects. Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy. The remaining 65 patients were selected by a radiologist from patients who neither had ILSVRC2012_IMG_TRAIN.TAR length 147897477120. name ILSVRC2012_img_train.tar. piece length2097152
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