roboticslaburjc/HumanDrive-CARLA

--- pretty_name: G29-HumanDrive-CARLA-5Runs task_categories: - image-segmentation - robotics - reinforcement-learning task_ids: - semantic-segmentation size_categories: - 10K<n<100K license: cc-by-4.0 multilinguality: not-applicable annotations_creators: - machine-generated source_datasets: - original dataset_info: features: - name: rgb dtype: image - name: seg dtype: image - name: steer dtype: float32 - name: throttle dtype: float32 - name: brake dtype: float32 - name: is_dagger dtype: int8 - name: town dtype: string - name: run dtype: string - name: frame_id dtype: int32 - name: timestamp_s dtype: float32 --- # G29-HumanDrive-CARLA-5Runs ## Dataset Description This dataset contains **70,308 samples** collected in CARLA using a Logitech G29 steering wheel. It includes one representative run from each town: - runs_01 → Town01 - runs_02 → Town03 - runs_03 → Town04 - runs_04 → Town05 - runs_05 → Town07 Each sample contains: - RGB image embedded in JPEG - semantic segmentation image embedded in PNG - steering command - throttle command - brake command - DAgger flag - town label - run identifier - frame identifier - timestamp in seconds The dataset preserves the original image resolution.