Datasets

Showing all 10 results

ApolloScape Lane Segmentation Dataset

Published by Yonohub Team on February 28, 2019

This dataset contains a diverse set of stereo video sequences recorded in street scenes from different cities, with high quality pixel-level annotations of 110,000+ frames.

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BDD Segmentation Dataset

Published by Yonohub Team on February 28, 2019

This dataset contains the current instance segmentation data from Berkeley DeepDrive.

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Comma.ai Dataset

Published by Yonohub Team on February 28, 2019

This dataset contains 10 video clips of variable size recorded at 20 Hz as well as some other measurements, such as car's speed, acceleration, steering angle, GPS coordinates, gyroscope angles.

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KITTI 2D Object Detection Dataset

Published by Yonohub Team on February 28, 2019

This dataset contains 7481 training images and 7518 test images, comprising a total of 80.256 labeled objects.

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KITTI Raw Dataset

Published by Yonohub Team on February 28, 2019

This dataset contains KITTI's raw data recordings.

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KITTI Road Dataset

Published by Yonohub Team on February 28, 2019

This dataset contains 289 training and 290 test images. It contains three different categories of road scenes.

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Lyft Level 5 Dataset

Published by Yonohub Team on August 9, 2019

Lyft Level 5 Dataset v1.01-train for autonomous driving. The dataset can be played with Lyft Dataset Player available on YonoStore.

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nuScenes Dataset v1.0 Full

Published by Yonohub Team on November 13, 2019

The nuScenes dataset is a large-scale autonomous driving dataset. It features: ● Full sensor suite (1x LIDAR, 5x RADAR, 6x camera, IMU, GPS) ● 1000 scenes of 20s each ● 1,400,000 camera images ● 390,000 lidar sweeps ● Two diverse cities: Boston and Singapore ● Left versus right hand traffic ● Detailed map information ● Manual annotations for 23 object classes ● 1.4M 3D bounding boxes annotated at 2Hz ● Attributes such as visibility, activity and pose ● Free to use for non-commercial use ● For a commercial license contact nuScenes@nutonomy.com

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PandaSet

Published by ahmedradwan on April 6, 2021

Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suit of a real self-driving-car.

It features: 48,000 camera images 16,000 LiDAR sweeps +100 scenes of 8s each 28 annotation classes 37 semantic segmentation labels Full sensor suite: 1x mechanical LiDAR, 1x solid-state LiDAR, 6x cameras, On-board GPS/IMU

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Waymo Open Dataset

Published by Yonohub Team on April 18, 2020

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