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Initial release of G29-HumanDrive-CARLA-5Runs

Browse files
.gitignore ADDED
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+ labels_hf_master.csv
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+ scripts/
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+ data/dataset_burbuja/
README.md ADDED
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+ ---
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+ pretty_name: G29-HumanDrive-CARLA-5Runs
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+ task_categories:
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+ - image-segmentation
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+ - robotics
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+ - reinforcement-learning
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+ task_ids:
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+ - semantic-segmentation
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+ size_categories:
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+ - 10K<n<100K
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+ license: cc-by-4.0
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+ multilinguality: not-applicable
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+ annotations_creators:
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+ - machine-generated
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+ source_datasets:
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+ - original
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+ dataset_info:
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+ features:
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+ - name: rgb
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+ dtype: image
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+ - name: seg
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+ dtype: image
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+ - name: steer
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+ dtype: float32
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+ - name: throttle
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+ dtype: float32
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+ - name: brake
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+ dtype: float32
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+ - name: is_dagger
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+ dtype: int8
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+ - name: town
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+ dtype: string
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+ - name: run
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+ dtype: string
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+ - name: frame_id
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+ dtype: int32
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+ - name: timestamp_s
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+ dtype: float32
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+ ---
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+
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+ # G29-HumanDrive-CARLA-5Runs
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+
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+ ## Dataset Description
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+
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+ This dataset contains **70,308 samples** collected in CARLA using a Logitech G29 steering wheel.
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+
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+ It includes one representative run from each town:
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+
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+ - runs_01 → Town01
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+ - runs_02 → Town03
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+ - runs_03 → Town04
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+ - runs_04 → Town05
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+ - runs_05 → Town07
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+
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+ Each sample contains:
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+
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+ - RGB image embedded in JPEG
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+ - semantic segmentation image embedded in PNG
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+ - steering command
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+ - throttle command
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+ - brake command
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+ - DAgger flag
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+ - town label
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+ - run identifier
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+ - frame identifier
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+ - timestamp in seconds
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+
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+ The dataset preserves the original image resolution.
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+ {
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+ "0": "None",
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+ "1": "Buildings",
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+ "2": "Fences",
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+ "3": "Other",
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+ "4": "Pedestrians",
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+ "5": "Poles",
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+ "6": "RoadLines",
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+ "7": "Roads",
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+ "8": "Sidewalks",
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+ "9": "Vegetation",
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+ "10": "Vehicles",
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+ "11": "Walls",
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+ "12": "TrafficSigns"
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+ }
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