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URL: https://huggingface.co/datasets/jeong2/avoid
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Dataset
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Supplementary video link: <!-- http://vi.kaist.ac.kr/avoid/sample.mp4 -->
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Dataset
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Since our dataset requires a large amount of storage (>500GB and >1TB with additional data), we expect it will take a couple months to setup a stable server.
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---
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License: The AVOID dataset is published under the *CC BY-NC-ND 4.0* License, and all codes are published under the *Apache 2.0* License.
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**URL**: https://huggingface.co/datasets/jeong2/avoid
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**Dataset url**: <!-- http://vi.kaist.ac.kr/avoid/avoid.html -->
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**Supplementary video link**: <!-- http://vi.kaist.ac.kr/avoid/sample.mp4 -->
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**Dataset embargo**: We have our project page available, but the full dataset will be open by the end of September.
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Since our dataset requires a large amount of storage (>500GB and >1TB with additional data), we expect it will take a couple months to setup a stable server.
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**Data composition / structure**
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train / val / test
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├──obstacle_weather_Town01_01_01
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├──|──obstacle_weather_Town01_01_01_route0_04_14_20_18_51
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├──|──|──depth: depth map
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├──|──|──label_raw: class, extent, position, yaw, num_points, distance, speed, brake, id, ego_matrix
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├──|──|──lidar: LiDAR data
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├──|──|──lidar_sem: semantic annotations for LiDAR data
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├──|──|──measurements: x, y, theta, speed, target_speed, x_command, y_command, command, waypoints, steer, throttle, brake, weather, junction, vehicle_hazard, light_hazard, walker_hazard, stop_sign_hazard, angle, ego_matrix,
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├──|──|──rgb: RGB image (left)
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├──|──|──rgb_bev: BEV RGB image
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├──|──|──rgb_pair: paired RGB image (Right)
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├──|──|──semantics: semantic annotations for RGB image (left)
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├──|──|──semantics_bev: semantic annotations for BEV RGB image
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├──|──|──topdown: encoded topdown view
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---
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License: The AVOID dataset is published under the *CC BY-NC-ND 4.0* License, and all codes are published under the *Apache 2.0* License.
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