Sliverwall/yolo26l_car_parts
Video Detections (YOLO26L Car Parts) Dataset Schema The data is stored in Apache Parquet format with snappy compression. Column Type Description video_id string YouTube ID for the source video. frame_index int64 The index of the frame in the video stream. timestamp float64 The exact time in the video where the detection occurred (in seconds). class_label string The name of the car part (using Ultralytic's car-seg dataset). x_min, y_min float32… See the full description on the dataset page: https://huggingface.co/datasets/Sliverwall/yolo26l_car_parts.
Video Detections (YOLO26L Car Parts)
Dataset Schema
The data is stored in Apache Parquet format with snappy compression. | Column | Type | Description | | :--- | :--- | :--- | | video_id | string | YouTube ID for the source video. | | frame_index | int64 | The index of the frame in the video stream. | | timestamp | float64 | The exact time in the video where the detection occurred (in seconds). | | class_label | string | The name of the car part (using Ultralytic's car-seg dataset). | | x_min, y_min | float32 | Top-left coordinates of the bounding box (pixel-based). | | x_max, y_max | float32 | Bottom-right coordinates of the bounding box (pixel-based). | | confidence_score| float32 | The model's confidence probability (0.0 to 1.0). | | detector_name | string | The model architecture used (e.g., yolo26l_car_parts_seg). | | embedding_id | string | Reference ID for the vector embedding. |