Datasets:
nightmare-nectarine
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README.md
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---
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license: mit
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---
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---
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license: mit
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language:
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- en
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tags:
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- Autonomous Driving
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- CARLA Simulator
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- ImitationLearning
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size_categories:
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- 10B<n<100B
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pretty_name: S
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This dataset consists of 80 episodes of driving data collected using an autopilot agent in CARLA simulator for training imitation learning models for autonomous driving tasks.
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Each frame is structured as follows:
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```
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frame_data = {
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'frame': the frame index,
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'hlc': an integer representing the high-level command,
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'light': an integer representing current traffic light status,
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'controls': an array of [throttle, steer, brake],
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'measurements': current speed in km/h,
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'rgb': rgb camera image,
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'segmentation': ground truth segmentation image,
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}
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```
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This dataset is used in [this project](https://github.com/TheRoboticsClub/gsoc2023-Meiqi_Zhao). Check out the [example code](https://github.com/TheRoboticsClub/gsoc2023-Meiqi_Zhao/blob/main/src/ModifiedDeepestLSTMTinyPilotNet/utils/load_dataset.py) for loading the dataset.
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