• Waymo Open Dataset

• Lyft Level 5 AV Dataset 2019

nuScenes by Aptiv : https://scale.com/open-datasets/nuscenes

Index of Open Datasets for Autonomous Driving : https://scale.com/open-datasets

Some datasets are note listed in this section. Plz refer the above List by Name

• LCAS 3D Peopel Detection : Lidar, PCD, Label

• Didi Challenge

• KITTI

• Autti

• CrowdAI

• Stanford Track Collection: 14,000 tracks Lidar, Vehicle, human, motobike

• TorontoCity benchmark : Lidar, Camera, Stereo Image

• KAIST Urban Data Set

• List of Yet Another Computer Vision Index To Datasets (YACVID)

• cityscapes-dataset

• Large-Scale Point Cloud Classification Benchmark

• Oakland: 2009, 2011, ~2 million labelled points

• Sydney Urban Objects data set: 3D Velodyne LIDAR mounted on a car which provides much lower point density

• IQmulus & TerraMobilita Contest: 3D Velodyne LIDAR mounted on a car which provides much lower point density

• New College Dataset: 30 GB of data for 6 D.O.F. navigation and mapping (metric or topological) using vision and/or laser.

• Malaga Dataset 2013: Dataset with GPS, Cameras and 3D laser information, recorded in the city of Malaga, Spain.

• Ford Campus Vision and Lidar Dataset: Dataset collected by a Ford F-250 pickup, equipped with IMU, Velodyne and Ladybug.

• Data61/2D3D Dataset

• ImageNet [Project]

• PASCAL VOC

• COCO

• SYNTHIA Dataset

• Oxford Robot Car Dataset

• GTI

• Traffic Sign : 신호등 데이터셋

• GTSRB_Dataset

• Caltech Pedestrian Detection Benchmark

• GM-ATCI Rear-view pedestrians dataset: Rear-View Pedestrians Dataset captured from a fisheye-lens camera.

• Daimler Pedestrian Segmentation Benchmark Dataset: Also captured in an urban setting, update of the older DaimlerChrysler dataset. Contains tracking information and a large number of labeled bounding boxes.

• Data61 Pedestrian Dataset: A large scale urban dataset collected in multiple cities/countries. No motion/tracking information, but significant number of unique pedestrians.

• Robust Multi-Person Tracking from Mobile Platforms: Urban dataset captured from a stereo rig mounted on a stroller.

• INRIA Person Dataset: CVPR 2005, Currently one of the most popular static pedestrian detection datasets.

• Elektra: collection of pedestrian datasets including pedestrian videos acquired on-board, virtual-world pedestrians (with part annotations), and occluded pedestrians.

• USC Pedestrian Detection Test Set: A number of fairly small pedestrian datasets taken largely from surveillance video.

• MIT CBCL PEDESTRIAN DATABASE: One of the first pedestrian datasets, fairly small and relatively well solved at this point.

• NYU RGB-D Dataset: Indoor dataset captured with a Microsoft Kinect that provides semantic labels.

• Comma.ai driving dataset : 자율 주행, 7.5 hours of camera images, steering angles, and other vehicle data.

• Udacity: Cameras, GPS, gear, brake, throttle, steering angles and speed.

• NYC_TLC: 뉴욕택시운행기록

• Elektra Driver Face Dataset

• Driving Datasets – Over 10 hours of driving data (LIDAR, camera frames and more)

• CMU Visual Localization Data Set: Dataset collected using the Navlab 11 equipped with IMU, GPS, Lidars and cameras.

• The Rawseeds Project: Indoor and outdoor datasets with GPS, odometry, stereo, omnicam and laser measurements for visual, laser-based, omnidirectional, sonar and multi-sensor SLAM evaluation.

• List of datasets : Are we there yet

출처 : Object detection: an overview in the age of Deep Learning

http://cvgl.stanford.edu/resources.html

http://cvgl.stanford.edu/projects/pascal3d.html : RELATED DATASETS