Cell Painting Gallery

Tutorials

• Cell Painting wiki by Multiple Authors
  
• Center for Open Bioimage Analysis (COBA) YouTube Channel - video tutorials of CellProfiler and other softwares by Multiple Authors
  
• Image-based Profiling Handbook - for processing image-based profiling datasets using CellProfiler and pycytominer by Multiple Authors
  
• Image-based profiling introductory exercise - data and an exercise on exploring image-based profiles, including understanding the various data levels by Beth Cimini
  
• Scientific Community Image Forum - for software-oriented aspects of scientific imaging including analysis, processing, and acquisition by Multiple Authors
  

Tools & Applications

• Accelerating Drug Discovery with high-throughput Cell Painting on AWS by Chris Kaspar
  
• Deep Profiler - Morphological profiling using deep learning by Multiple Authors
  
• Distributed CellProfiler - Run encapsulated docker containers with CellProfiler in the Amazon Web Services infrastructure by Multiple Authors
  
• Image-based Profiling Recipe by Multiple Authors
  
• Pycytominer - Data processing functions for profiling perturbations by Multiple Authors
  

Publications

• A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay by Bray M-A, Gustafsdottir SM, Rohban MH, Singh S, Ljosa V, Sokolnicki KL, Bittker JA, Bodycombe NE, Dancik V, Hasaka TP, Hon CS, Kemp MM, Li K, Walpita D, Wawer MJ, Golub TR, Schreiber SL, Clemons PA, Shamji AF, & Carpenter AE
  
• Cell Painting predicts impact of lung cancer variants by Caicedo JC, Arevalo J, Piccioni F, Bray MA, Hartland CL, Wu X, Brooks AN, Berger AH, Boehm JS, Carpenter AE, & Singh S
  
• Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes by Bray M-A, Singh S, Han H, Davis CT, Borgeson B, Hartland C, Kost-Alimova M, Gustafsdottir SM, Gibson CC, & Carpenter AE
  
• Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects by Singh S, Wu X, Ljosa V, Bray M-A, Piccioni F, Root DE, Doench JG, Boehm JS, & Carpenter AE
  
• Multiplex Cytological Profiling Assay to Measure Diverse Cellular States by Gustafsdottir SM, Ljosa V, Sokolnicki KL, Wilson JA, Walpita D, Kemp MM, Seiler KP, Carrel HA, Golub TR, Schreiber SL, Clemons PA, Carpenter AE, and Shamji AF
  
• Systematic morphological profiling of human gene and allele function via Cell Painting by Rohban MH, Singh S, Wu X, Berthet JB, Bray M-A, Shrestha Y, Varelas X, Boehm JS, & Carpenter AE
  
• Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling by Wawer MJ, Li K, Gustafsdottir SM, Ljosa V, BodycombeNE, Marton MA, Sokolnicki KL, Bray M-A, Kemp MM, Winchester E, Taylor B, Grant GB, Hon CSK, Duvall JR, Wilson JA, Bittker JA, Dancik V, Narayan R, Subramanian A, Winckler W, Golub TR, Carpenter AE, Shamji AF, Schreiber SL, & Clemons PA
  

SpaceNet

Tutorials

• Extracting buildings and roads from AWS Open Data using Amazon SageMaker by Yunzhi Shi, Tianyu Zhang, and Xin Chen
  Amazon SageMaker
• Getting Started with SpaceNet Data by Adam Van Etten
  

Tools & Applications

• Solaris: an open source Python library for analyzing overhead imagery with machine learning by Nick Weir
  

Publications

• Accelerating Ukraine Intelligence Analysis with Computer Vision on Synthetic Aperture Radar Imagery by Ritwik Gupta, Colorado Reed, Anja Rohrbach, and Trevor Darrell
  
• Creating Training Datasets for the SpaceNet Road Detection and Routing Challenge by Adam Van Etten and Jake Shermeyer
  
• Deploying the SpaceNet 6 Baseline on AWS by Adam Van Etten and Nick Weir
  
• FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images by Xuerui Niu, Qiaolin Zeng, Xiaobo Luo and Liangfu Chen
  
• Introducing the SpaceNet Off-Nadir Imagery Dataset by David Lindenbaum
  
• Introducing the SpaceNet Road Detection and Routing Challenge and Dataset by David Lindenbaum
  
• SpaceNet 5 Dataset Release by Adam Van Etten and Ryan Lewis
  
• SpaceNet 6: Dataset Release by Jake Shermeyer
  
• SpaceNet 8 - The Detection of Flooded Roads and Buildings by Ronny Hansch, Jacob Arndt, Dalton Lunga, Matthew Gibb, Tyler Pedelose, Arnold Boedihardjo, Desiree Petrie, Todd M. Bacastow
  
• SpaceNet: Winning Implementations and New Imagery Release by Todd Stavish
  
• The SpaceNet 7 Multi-Temporal Urban Development Challenge: Dataset Release by Adam Van Etten
  
• The SpaceNet 8 Flood Detection Challenge: Dataset and Algorithmic Baseline Release by SpaceNet
  

Low Altitude Disaster Imagery (LADI) Dataset

Tutorials

• LADI v1 Tutorials by Andrew Weinert, Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren, Ryan Earley, Nadia Dimitrova
  
• LADI v2 Overview by Jeffrey Liu, Sam Scheele, Katherine Picchione
  

Tools & Applications

• NIST TRECVID 2020 - Disaster Scene Description and Indexing (DSDI) by TREC Video Retrieval Evaluation (TRECVID)
  
• Remote Sensing for Disaster Response Course by Beaver Works Summer Institute
  

Publications

• Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI by Vamshi Krishna Enabothala, Morgan Dutton, and Sandeep Verma
  
• An overview on the evaluated video retrieval tasks at TRECVID 2022 by George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Lukas Diduch, Jeffrey Liu, Yvette Graham, Georges Quenot
  
• Evaluating Multiple Video Understanding and Retrieval Tasks at TRECVID 2021 by George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot
  
• Large Scale Organization and Inference of an Imagery Dataset for Public Safety by Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert
  
• Train and Deploy an Image Classifier for Disaster Response by Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren
  
• TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains by George Awad, Asad A. Butt, Keith Curtis, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quenot
  
• Video Testing at the FirstNet Innovation and Test Lab Using a Public Safety Dataset by Chris Budny, Jeffrey Liu, Andrew Weinert
  

nuScenes

Tutorials

• nuImages devkit tutorial by Motional
  
  
• nuScenes CAN bus tutorial by Motional
  
  
• nuScenes devkit tutorial by Motional
  
  
• nuScenes lidarseg and panoptic tutorial by Motional
  
  
• nuScenes Map Expansion Tutorial by Motional
  
  
• nuScenes prediction tutorial by Motional
  
  

Tools & Applications

• nuScenes devkit by Motional
  

Publications

• nuScenes: A multimodal dataset for autonomous driving by Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom
  
• Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking by Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
  

Boreas Autonomous Driving Dataset

Tutorials

• Introduction to Visualizing Sensor Types (Jupyter notebook) by Keenan Burnett
  Amazon SageMaker
• Project Lidar onto Camera Frames (Jupyter notebook) by Keenan Burnett
  Amazon SageMaker

Publications

• Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization? by K Burnett, Y Wu, D J Yoon, A P Schoellig, T D Barfoot
  
• Boreas: A multi-season autonomous driving dataset by K Burnett, D J Yoon, Y Wu, A Z Li, H Zhang, S Lu, J Qian, W Tseng, A Lambert, K YK Leung, A P Schoellig, Timothy D Barfoot
  
• Do we need to compensate for motion distortion and doppler effects in spinning radar navigation? by K Burnett, A P Schoellig, T D Barfoot
  
• Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity by D J Yoon, K Burnett, J Laconte, Y Chen, H Vhavle, S Kammel, J Reuther, T D Barfoot
  
• Picking up speed: Continuous-time Lidar-only odometry using doppler velocity measurements by Y Wu, D J Yoon, K Burnett, S Kammel, Y Chen, H Vhavle, T D Barfoot
  
• Radar odometry combining probabilistic estimation and unsupervised feature learning by K Burnett, D J Yoon, A P Schoellig, T D Barfoot
  

Argoverse

Tutorials

• Argoverse 2 API by Argoverse Authors
  

Tools & Applications

• conda-forge package for `av2` by Argoverse Authors
  
• PyPi package for `av2` by Argoverse Authors
  

Publications

• Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting by Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
  
• Argoverse: 3D Tracking and Forecasting With Rich Maps by Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
  
• Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection by John Lambert, James Hays
  

Capella Space Synthetic Aperture Radar (SAR) Open Dataset

Tutorials

• Scaling GEO Images in QGIS by Capella Space
  

Tools & Applications

• Python SDK for api.capellaspace.com by Capella Space
  
• Single Look Complex data reader for Capella SLC images - python module to convert Capella SLC data into an amplitude image. by Capella Space
  

Publications

• Analyzing LiDAR and SAR data with Capella Space and TileDB by Stavros Papadopoulos
  
• Open SAR data and scalable analytics by Norman Barker
  
• Radar Generalized Image Quality Equation Applied to Capella Open Dataset by Wade Schwartzkopf, Jason Brown, Gordon Farquharson, Craig Stringham, Michael Duersch, Jordan Heemskerk
  

RarePlanes

Tutorials

• Announcing YOLTv4: Improved Satellite Imagery Object Detection by Adam Van Etten
  
• Automatically compress and archive satellite imagery for Amazon S3 by Newel Hirst, Joseph Fahimi, and Justin Downes
  Amazon S3Amazon S3 GlacierAWS LambdaAmazon ECR
• Getting Started with YOLTv4 for Object Detection in Imagery: Getting Training Data by Sophia Parafina
  
• Notebook for training and testing YOLYv4 by Adam Van Etten
  

Tools & Applications

• RarePlanes Codebase by Thomas Hossler and Jacob Shermeyer
  

Publications

• RarePlanes: Synthetic Data Takes Flight by Jacob Shermeyer, Thomas Hossler, Adam Van Etten, Daniel Hogan, Ryan Lewis, Daeil Kim
  

Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS

Tutorials

• Data layout and how to view by kirchhausenlab
  
• How to use models by kirchhausenlab
  

Tools & Applications

• ASEM Colab Notebook (Interactive Demo) by Patrick Stock
  
• TK Lab Data Explorer by Patrick Stock
  

Publications

• Deep neural network automated segmentation of cellular structures in volume electron microscopy by Benjamin Gallusser, Giorgio Maltese, Giuseppe Di Caprio, Tegy John Vadakkan, Anwesha Sanyal, Elliott Somerville, Mihir Sahasrabudhe, Justin O’Connor, Martin Weigert, Tom Kirchhausen
  

CAncer MEtastases in LYmph nOdes challeNge (CAMELYON) Dataset

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• CAMELYON Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Publications

• 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset by Geert Litjens, et al.
  
• Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer by Babak Ehteshami Bejnordi, et al.
  
• From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge by Peter Bandi, et al.
  

MONKEY

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• MONKEY Challenge by Computational Pathology Group Radboudumc, Nijmegen
  
• MONKEY challenge tutorials by Computational Pathology Group Radboudumc, Nijmegen
  
• Structured description of the MONKEY Challenge by Linda Studer, Dominique van Midden, Fazael Ayatollahi, Jeroen van der Laak
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

RACECAR Dataset

Tutorials

• RACECAR Tutorials - nuScenes by John Chrosniak
  
  
• RACECAR Tutorials - ROS2 Localization by Amar Kulkarni
  
• RACECAR Tutorials - ROS2 Visualization by Amar Kulkarni, Utkarsh Chirimar
  

Tools & Applications

• rosbag2nuscenes conversion library by John Chrosniak, Emory Ducote, John Link, Madhur Behl
  

Publications

• RACECAR--The Dataset for High-Speed Autonomous Racing by Amar Kulkarni, John Chrosniak, Emory Ducote, Florian Sauerbeck, Andrew Saba, Utkarsh Chirimar, John Link, Marcello Cellina, and Madhur Behl
  

OpenCell on AWS

Tools & Applications

• cytoself (an unsupervised ML model to quantify localization patterns) by Hirofumi Kobayashi, Keith C. Cheveralls, Manuel D. Leonetti, Loic A. Royer
  
• OpenCell web portal by OpenCell team
  

Publications

• OpenCell: proteome-scale endogenous tagging enables the cartography of human cellular organization by Nathan H. Cho, Keith C. Cheveralls, Andreas-David Brunner, Kibeom Kim, André C. Michaelis, Preethi Raghavan, et al.
  
• Self-Supervised Deep-Learning Encodes High-Resolution Features of Protein Subcellular Localization by Hirofumi Kobayashi, Keith C. Cheveralls, Manuel D. Leonetti, Loic A. Royer
  

Allen Ivy Glioblastoma Atlas

Tutorials

• Accessing Ivy Glioblastoma Atlas Project data by Allen Institute for Brain Science
  

Tools & Applications

• Ivy Glioblastoma Atlas Project by Allen Institute for Brain Science
  

Publications

• An anatomic transcriptional atlas of human glioblastoma by Ralph Puchalski, et al.
  

COBRA

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• COBRA Tools & Labels by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS

Publications

• Correlative three-dimensional super-resolution and block-face electron microscopy of whole vitreously frozen cells. by David P. Hoffman, Gleb Shtengel, C. Shan Xu, Kirby R. Campbell, Melanie Freeman, Lei Wang, Daniel E. Milkie, H. Amalia Pasolli, Nirmala Iyer, John A. Bogovic, Daniel R. Stabley, Abbas Shirinifard, Song Pang, David Peale, Kathy Schaefer, Wim Pomp, Chi-Lun Chang, Jennifer Lippincott-Schwartz, Tom Kirchhausen1, David J. Solecki, Eric Betzig, Harald F. Hess
  
• Enhanced FIB-SEM systems for large-volume 3D imaging by C. Shan Xu, Kenneth J. Hayworth, Zhiyuan Lu, Patricia Grob, Ahmed M. Hassan, José G. García-Cerdán, Krishna K. Niyogi, Eva Nogales, Richard J. Weinberg, Harald F. Hess.
  
• Whole-cell organelle segmentation in volume electron microscopy by Lisa Heinrich, Davis Bennett, David Ackerman, Woohyun Park, Jon Bogovic, Nils Eckstein, et al.
  

CitrusFarm Dataset

Tools & Applications

• Python script to download this dataset by Hanzhe Teng et al.
  
• Python scripts used in the data collection and post-processing by Hanzhe Teng et al.
  

Publications

• Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms by Hanzhe Teng, Yipeng Wang, Xiaoao Song and Konstantinos Karydis
  

Multiview Extended Video with Activities (MEVA)

Publications

• ActEV: Activities in Extended Video by National Institute of Standards and Technology (NIST)
  
• MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection by Kellie Corona, Katie Osterdahl, Roderic Collins, Anthony Hoogs
  
• TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos by Praveen Tirupattur, Aayush J Rana, Tushar Sangam, Shruti Vyas, Yogesh S Rawat, Mubarak Shah
  

Pohang Canal Dataset: A Multimodal Maritime Dataset for Autonomous Navigation in Restricted Waters

Tools & Applications

• Ros Message Player for Pohang Dataset by Dongha Chung
  
• ROS package for LiDAR to image of Pohang Canal Dataset by Dongha Chung
  

Publications

• Pohang Canal Dataset: A Multimodal Maritime Dataset for Autonomous Navigation in Restricted Waters by Dongha Chung, Jonghwi Kim, Changyu Lee, Jinwhan Kim
  

STOIC2021 Training

Tools & Applications

• STOIC2021 Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Publications

• How Well Do Self-Supervised Models Transfer to Medical Imaging? by Anton J, Castelli L, Chan MF, Outthers M, Tang WH, Cheung V, et al.
  
• Study of Thoracic CT in COVID-19: The STOIC Project by Revel MP, Boussouar S, de Margerie-Mellon C, Saab I, Lapotre T, Mompoint D, et al.
  

AgricultureVision

Publications

• Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis by Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
  
• The 2nd International Workshop and Prize Challenge on Agriculture-Vision, Challenges & Opportunities for Computer Vision in Agricutlure by Humphrey Shi, Naira Hovakimyan, Jennifer Hobbs, Ed Delp, Melba Crawford, Zhen Li, David Clifford, Jim Yuan, Mang Tik Chiu, Xingqian Xu
  

Aurora Multi-Sensor Dataset

Tutorials

• Introduction to Visualizing Sensor Types (Jupyter notebook) by Andrei Bârsan (note: Aurora makes no representations as to the accuracy or functionality of the tutorial)
  Amazon SageMaker Studio Lab

Publications

• "Pit30M: A benchmark for global localization in the age of self-driving cars", in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4477-4484) by Martinez, J., Doubov, S., Fan, J., Bârsan, I. A., Wang, S., Máttyus, G., Urtasun, R.
  

Consented Activities of People

Tools & Applications

• OpenFAD - Open Fine Grained Activity Detection Challenge by Visym Labs & NIST
  
• Visym Collector by Visym Labs & Systems & Technology Research
  

Emory Knee Radiograph (MRKR) dataset

Tutorials

• Example Notebook by Emory-HITI
  

Publications

• Emory Knee Radiograph Dataset by Brandon Price, Jason Adleberg, Kaesha Thomas, Zach Zaiman, Aawez Mansuri, Beatrice Brown-Mulry, Chima Okecheukwu, Judy Gichoya, Hari Trivedi.
  

Ford Multi-AV Seasonal Dataset

Tutorials

• Autonomous Driving Data Service (ADDS) by Ajay Vohra, Amazon
  Amazon EKSAmazon RedshiftAmazon S3Amazon FSx
• Ford AV Dataset Tutorial by Ford Motor Company
  

LEarning biOchemical Prostate cAncer Recurrence from histopathology sliDes challenge (LEOPARD) Dataset

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• LEOPARD Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Satellogic EarthView dataset

Tutorials

• Explore Satellogic EarthView in SageMaker Studio Lab (SMSL) by Javier Marin
  
  Amazon SageMaker Studio Lab

Publications

• EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision by Velázquez, Diego and Rodríguez, Pau and Alonso, Sergio and Gonfaus, Josep M. and González, Jordi and, Richarte, Gerardo and Marín, Javier and Bengio, Yoshua and Lacoste, Alexandre
  

TIGER Training

Tools & Applications

• TIGER Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

3DCoMPaT: Composition of Materials on Parts of 3D Things

Publications

• 3DCoMPaT: Composition of Materials on Parts of 3D Things by Yuchen Li, Ujjwal Upadhyay, Habib Slim, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka & Mohamed Elhoseiny
  

A2D2: Audi Autonomous Driving Dataset

Tutorials

• Autonomous Driving Data Service (ADDS) by Ajay Vohra, Amazon
  Amazon EKSAmazon RedshiftAmazon S3Amazon FSx

Corn Kernel Counting Dataset

Publications

• Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels by Jennifer Hobbs, Vachik Khachatryan, Barathwaj Anandan, Harutyun Hovhannisyan, David Wilson
  

Image classification - fast.ai datasets

Tools & Applications

• Oxford-IIIT Pet Image Classification on Amazon SageMaker by AWS
  

Longitudinal Nutrient Deficiency

Publications

• Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery by Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs
  

MAN TruckScenes

Tutorials

• TruckScenes devkit tutorial by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  
  

Tools & Applications

• PyPi package by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  
• TruckScenes devkit by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  

Publications

• MANTruckScenes: A multimodal dataset for autonomous trucking in diverse conditions by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, et al
  

Multi-robot, Multi-Sensor, Multi-Environment Event Dataset (M3ED)

Publications

• M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset by Chaney K, Cladera F, et al.
  

NYUMets Brain Dataset

Publications

• Longitudinal deep neural networks for assessing metastatic brain cancer on a massive open benchmark. by Link et al (2023)
  

OpenSurfaces

Publications

• OpenSurfaces: A Richly Annotated Catalog of Surface Appearance by Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala
  

RSNA Abdominal Trauma Detection (RSNA-ABT)

Publications

• The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset by Rudie, Jeffrey D.
  

RSNA Cervical Spine Fracture Detection (RSNA-CSF) Dataset

Publications

• The RSNA Cervical Spine Fracture CT Dataset by Ming, Hui Lin
  

RSNA Intracranial Hemorrhage Detection

Publications

• Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge by Rudie, Jeffrey D.
  

RSNA Pulmonary Embolism Detection

Publications

• The RSNA Pulmonary Embolism CT Dataset by Colak, Errol
  

Xiph.Org Test Media

Tutorials

• Encoding video with AV1 on EC2 by Thomas Daede
  

MegaScenes

Tutorials

• MegaScenes: Scene-Level View Synthesis at Scale by Tung J., Chou G., Cai R., Yang, G., Zhang K., Wetzstein G., et al.
  

Tools & Applications

• MegaScenes: Scene-Level View Synthesis at Scale by Tung J., Chou G., Cai R., Yang, G., Zhang K., Wetzstein G., et al.
  

Publications

• MegaScenes: Scene-Level View Synthesis at Scale by Tung J., Chou G., Cai R., Yang, G., Zhang K., Wetzstein G., et al.
  

Amazon Bin Image Dataset

Publications

• Amazon Bin Image Dataset Challenge by silverbottlep
  
• Amazon Inventory Reconciliation using AI by Pablo Rodriguez Bertorello, Sravan Sripada, Nutchapol Dendumrongsup
  

YouTube 8 Million - Data Lakehouse Ready

Tutorials

• Data Lake as Code Deployment Guide by AWS Industry Blueprints Team
  Amazon AthenaAWS GlueAWS Lake Formation

Publications

• YouTube 8 Million by Google Research
  

BodyM Dataset

Publications

• Human Body Measurement Estimation with Adversarial Augmentation by Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero and Raja Bala
  

PersonPath22

Publications

• Large scale Real-world Multi-Person Tracking by Bing Shuai, Alessandro Bergamo, Uta Buechler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe