aayush226/drone-tracking-assignment-ai-spring26

--- license: mit task_categories: - object-detection language: - en pretty_name: UAV Drone Detection Frames tags: - computer-vision - object-detection - drone - parquet - image --- # UAV Drone Detection Frames This dataset contains video frames with at least one drone detection, stored in Parquet format. ## Contents Each row corresponds to one saved frame and includes: - `video`: source video name - `frame_file`: frame filename - `image`: embedded image bytes - `objects.bbox`: bounding boxes in `[x, y, width, height]` format - `objects.categories`: class ids for each detection - `scores`: confidence scores for each detection ## Source The dataset was created by: 1. extracting frames from input drone videos at 5 FPS, 2. running a fine-tuned YOLO detector, 3. keeping only frames with at least one detection, 4. storing the results in Hugging Face-compatible Parquet format. ## Notes - Images are embedded directly in the Parquet file. - Bounding boxes are stored in Hugging Face object detection format. - This dataset was created for an academic assignment on UAV drone detection and tracking.