A catalog for /data3.
| Dataset Name | Path | Size | Home Page | Keywords | Miscellaneous |
|---|---|---|---|---|---|
| DukeMTMC | /data3/DukeMTMC |
1.4T | http://vision.cs.duke.edu/DukeMTMC/ | Multi-Track Multi-Camera Tracking | |
| LFW | /data3/LFW |
472.6G | http://vis-www.cs.umass.edu/lfw/ | Face Verification | Including RGB imgs, gray-scale imgs, extracted features. |
| PRW | /data3/PRW |
152.2G | http://www.liangzheng.com.cn/Project/project_prw.html | Person Search/Re-identification | Including imgs, bboxes, masks |
| CUHK-SYSU | /data3/CUHK_Person_Search |
98.1G | http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html | Person Search/Re-identification | Including imgs, bboxes, masks |
| MPII | /data3/MPII |
24G | http://human-pose.mpi-inf.mpg.de/ | 2D Pose Estimation | Including images, processed masks and keypoint anntations |
| AIchallenge | /data3/AIchallenge |
29G | https://challenger.ai/competition/keypoint/subject | 2D Multi-Person Pose Estimation | The dataset of AIchallenge for human pose estimation, including images, bboxes and keypoint annotations. |
| Kitti | /data3/Kitti |
357G | http://www.cvlibs.net/datasets/kitti/ | Autonomous Driving | Including stereo and optical flow image pairs, stereo visual odometry sequences, and 3D object annotations |
| COCO | /data3/MSCOCO |
140G | http://cocodataset.org/#home | Detection/ Pose Estimation/ Segmentation | |
| XJTU2017 | /data3/XJTU2017 |
25.9G | http://ccvai.xjtu.edu.cn/qxkz/yhdl.jsp?urltype=tree.TreeTempUrl&wbtreeid=1035&wbnewsid=1300 | Traffic Line Detection; Traffic Sign Detection; Vehicle Detection; Lane Keeping Monitoring; Vehicle Distance Estimation | Including Images, traffic lines, traffic sign bboxes and types, vehicle bboxes, vehicle distances |
| DeepInsight | /data3/DeepInsight |
296G | (no website) | Self-constructed dataset for traffic line detection (under development) | Including images, hand-labeled traffic lines (still going on), some codes for processing images and labels, several pre-trained models |
| ImageNet/ILSVRC2015 | /data3/ImageNet/ILSVRC2015 |
179G | http://image-net.org/challenges/LSVRC/2015/ | Object Detection; Object Tracking | Including competitions: Object detection and Object detection from video (VID). Same folder name for different tasks, feel free to search the files for what you want. |
| ImageNet/ILSVRC2017 | /data3/Imagenet/ILSVRC2017 |
359G | http://image-net.org/challenges/LSVRC/2017/ | Object detection from video | Including all data from the Imagenet 2017 Challenge for video object detection, composed of DET and VID subsets. |
| ALOV | /data3/alov |
11G | http://alov300pp.joomlafree.it/ | Object Tracking | Including annotations and images |
| Cityscapes | /data3/Cityscapes |
31G | https://www.cityscapes-dataset.com/ | Segmentation; Detection | |
| KAIST_Infrared_Pedestrain | /data3/KAIST_Infrared_Pedestrain |
36G | https://sites.google.com/site/pedestrianbenchmark/ | Pedestrian Detection | Including RGB images, infrared images, and labeled bounding box |
| RESIDE | /data3/RESIDE |
98G | https://sites.google.com/view/reside-dehaze-datasets | Single Image Dehazing | Including RGB pairs(haze & clean), gray scale images(transmission maps). |
| pku_Rain | /data3/pku_Rain/rainALL_ALL |
8.6G | http://www.icst.pku.edu.cn/struct/Projects/joint_rain_removal.html?jekfcbimoppphdba | Deraining, rain removal from a single image | Including RGB pairs(rain & clean), labeled rain steaks. |
| Snow100K | /data3/Snow |
16G | https://sites.google.com/view/yunfuliu/desnownet | Desnow/ Snow Removal | Including RGB pairs(snow & clean), labeled snow locations. |
| NYU depth v2 | /data3/NYU_depth |
428G | https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html | Depth Estimation from RGB Image | |
| PASCAL VOC | /data3/PASCAL/VOCdevkit |
3G | http://host.robots.ox.ac.uk/pascal/VOC/index.html | Object Detection; Segmentation | Including VOC2007 and VOC2012 |
| CIFAR 10 | /data3/cifar10 |
236M | http://www.cs.toronto.edu/~kriz/cifar.html | Object Recognition | |
| CIFAR 100 | /data3/cifar100 |
939M | http://www.cs.toronto.edu/~kriz/cifar.html | Object Recognition | |
| SVHN | /data3/SVHN |
2.5G | http://ufldl.stanford.edu/housenumbers/ | Number Recognition | |
| HMDB-51 | /data3/hmdb51 |
2.1G | http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/ | Human Motion Recognition | |
| DAVIS 17 | /data3/DAVIS17 |
12G | http://davischallenge.org/code.html | Video Segmentation | |
| DAVIS 16 | /data3/DAVIS-data-origin |
7.2G | http://davischallenge.org/code.html | Video Segmentation | |
| Tsinghua-Tencent 100K | /data3/Tsinghua_Tencent_100K |
24.5G | http://cg.cs.tsinghua.edu.cn/traffic-sign/tutorial.html | Traffic Sign Detection | |
| Traffic Light Datasets | /data3/TrafficLight |
36G | https://github.com/udacity/self-driving-car/tree/master/annotations， https://hci.iwr.uni-heidelberg.de/node/6132 | Traffic Sign Detection | |
| SUN RGBD | /data3/SUNRGBD |
7.39G | http://rgbd.cs.princeton.edu/ | Depth Estimation; RGBD object classification | |
| VOT | /data3/VOT |
1.9G | http://www.votchallenge.net/ | Video Object Tracking | Including vot2014 and vot 2015 |
| Charades | /data3/Charades |
396G | http://allenai.org/plato/charades/ | Video Recognition & Video Caption | Including videos, flows of original size as well as those scaled into 480p, along with two-stream features computed by frames and optical flows in the frequency of 8fps. Evaluation codes were also provided |
| MOT | /data3/MOT |
1.9G | https://motchallenge.net/ | Multiple-Object Tracking | Including training and testing data of mot dataset for multi object tracking, also including optical flow extracted by flownet2.0 if any help for tracking. |
| MPI-Sintel | /data3/MPI_Sintel |
12G | http://sintel.is.tue.mpg.de/ | Optical flow estimation | Including all training and testing data of MPI-Sintel dataset, especially for evaluating the performance of optical flow algorithms |
| FlyingThings | /data3/FlyingThings |
1.3T | https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html | Optical flow estimation | Including training and testing data along with those transformed into tensorflow tfrecords files, where optical flow was only transformed from left view as well as in the order of into_future |
| FlyingChairs | /data3/FlyingChairs/FlyingChairs |
1.1T | https://lmb.informatik.uni-freiburg.de/resources/datasets/FlyingChairs.en.html | Optical flow estimation | Including training and testing data along with those transformed into tensorflow tfrecords files |
| Broden | /data3/Broden |
1G | https://github.com/CSAILVision/NetDissect | CNN Interpretbility; Network Dissection | Dataset for interpreting disentangled representation in CNN |
| CASIA WebFace | /data3/CASIA_WebFace |
8.9G | http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html | Face Recognition/Verification | |
| Market1501 | /data3/Market1501 |
2.6G | http://www.liangzheng.org/Project/project_reid.html | Person Re-identification | |
| MARS | /data3/MARS |
19G | http://www.liangzheng.com.cn/Project/project_mars.html | Video-based Person Re-identification | |
| CUHK03 | /data3/CUHK03 |
8.7G | http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html | Person Re-identification | |
| GraspingRectangleDataset | /data3/GraspingRectangle/ |
10G | http://pr.cs.cornell.edu/deepgrasping/ | RGBD detection | A dataset for detecting robotic grasps. |
| Visual Genome | /data3/Visual_Genome |
15G | http://visualgenome.org/ | Visual Relationship Detection | Visual Genome is a dataset, a knowledge base, an ongoing effort to connect structured image concepts to language. |
| Human 3.6M | /data3/Human36M |
32G | http://vision.imar.ro/human3.6m/description.php | RGBD Human Pose Estimation | A dataset for detecting human keypoints from RGBD data |
| UCF-101 | /data3/UCF-all-in-one |
94G | http://crcv.ucf.edu/data/UCF101.php | Video analysis | Including UCF-101(the original video), ucf_frame(video frames) and ucf_transed(optical flow) |
| DiDi Self-Driving Dataset | /data3/DiDi |
~500G | http://research.xiaojukeji.com/ | 3D Object Detection with multiple sensors | |
| DOTA | /data3/DOTA |
20G | http://captain.whu.edu.cn/DOTAweb/ | Aerial Images; Small Object Detection | A Large-scale Dataset for Object Detection in Aerial Images |
| PoseTrack | /data3/Posetrack |
33G | https://posetrack.net/ | Pose estimation; Tracking. | PoseTrack is a new large-scale benchmark for human pose estimation and tracking in video. |
| WIDER Person Search | /data3/WIDER_Person_Search |
12G | https://competitions.codalab.org/competitions/19055#participate | Person Search; Person Detection; Re-identification | WIDER Face & Pedestrain Challenge - Track 3: Person Search |
| VisDrone | /data3/VisDrone |
14G | http://www.aiskyeye.com/views/index | Bird-view detection; Drone survallence detection. | Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling and Qinghua Hu, arXiv 2018. Vision Meets Drones: A Challenge. |
| SmartCity | /data3/smartcity |
28G | https://cpipc.chinadegrees.cn/cw/hp/1 | Action Recognition | |
| RGBT234 | /data3/RGBT234 |
7.76G | https://sites.google.com/view/ahutracking001 | RGB-T tracking, Thermal image | Including RGB images and Thermal images |
| TB-100 | /data3/TB-100 |
2.76G | http://cvlab.hanyang.ac.kr/tracker_benchmark/datasets.html | Visual Tracker | Including RGB images and ground truth |
| Youtube-8M | /data3/Youtube-8M |
1.8T | https://research.google.com/youtube8m | ||
| CUB-200-2011 | /data3/CUB_200_2011 |
1.1G | http://www.vision.caltech.edu/visipedia/CUB-200-2011.html | Bird Classification | |
| Online Product | /data3/Online_Product |
2.9G | http://cvgl.stanford.edu/projects/lifted_struct/ | Product Retrieval | |
| Automated Driving 3D Point Cloud Segmentation | /data3/3D_Point_Cloud_Segmentation |
86.5G | https://www.datafountain.cn/competitions/314/details/data-evaluation?tdsourcetag=s_pctim_aiomsg | Dataset for automated driving 3D point cloud segmentation | |
| LaSOT | /data3/LaSOT |
227G | https://cis.temple.edu/lasot | Large-scale Single Object Tracking (LaSOT) | Including images and labels |
| AIChallenger Caption | /data3/ai_challenger_caption |
21.7G | - | - | - |
| UCF_Crime | /data3/UCF_Crime |
208G | http://crcv.ucf.edu/projects/real-world/ | a dataset for anomaly detection, including initial video, generated images and optical flows | |
| KTH | /data3/KTH |
1G | http://www.nada.kth.se/cvap/actions/ | The current video database containing six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping). | |
| AirbusShipDetection | /data3/Ship_detection |
29G | https://www.kaggle.com/c/airbus-ship-detection/data | Satellite images, ships are varying in angles. | Kaggle Ship Detection Challenge |
| 跨越险阻 | /data3/Kuayuexianzu |
2.86G | None | Self-labeled dataset. | |
| GOT-10k | /data3/GOT |
68G | http://got-10k.aitestunion.com | Generic object tracking dataset by CASIA | |
| CULane | /data3/CULane/ |
120G | http://xingangpan.github.io/projects/CULane.html | lane marking detection | |
| Cloth1M | /data3/Cloth1M/ |
TBD | https://github.com/Cysu/noisy_label | label noise robust learning | images, ground true labels and noisy labels |
| NTU RGB+D | /data3/NTU_RGB+D/ |
437G | http://rose1.ntu.edu.sg/Datasets/actionRecognition.asp | RGB+D action recognition | including rgb videos and skeletons and depth maps |
| Taskonomy sample dataset | /data3/Taskonomy-sample-model-1 |
46.4G | https://github.com/alexsax/taskonomy-sample-model-1 | An official sub-set of the full dataset proposed by the Taskonomy paper. | |
| Mlt synthetic dataset | /data3/Mlt_synthetic_dataset |
500G | http://pbrs.cs.princeton.edu/ | A synthetic dataset for vision tasks on indoor scenes. | |
| Virtual Kitti | /data3/Virtual_Kitti/ |
27.2G | http://www.europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds | Virtual KITTI is a photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic segmentation, optical flow, and depth estimation. | |
| SBU and ISTD | /data3/shadow |
10G | https://www3.cs.stonybrook.edu/~minhhoai/projects/shadow.html, https://github.com/DeepInsight-PCALab/ST-CGAN | DeShadow/ shadow detection/ shadow removal | Including RGB pairs, RGB triplets. |
| DIV2K | /data3/DIV2K |
230G | https://data.vision.ee.ethz.ch/cvl/DIV2K/ | dataset for single image super resolution tasks | |
| Scene Flow | /data3/SceneFlow |
15.1G | https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html | This dataset collection has been used to train convolutional networks in our CVPR 2016 paper A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. |