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| title: Drone Tracking Assignment AI Spring26 | |
| emoji: 🐢 | |
| colorFrom: yellow | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 6.9.0 | |
| app_file: app.py | |
| pinned: false | |
| # UAV Drone Detection Frames | |
| This dataset contains frames with at least one drone detection, stored in Parquet format. | |
| ## Features | |
| - `video`: source video name | |
| - `frame_file`: frame filename | |
| - `image`: embedded image | |
| - `objects.bbox`: bounding boxes in `[x, y, width, height]` | |
| - `objects.categories`: class ids | |
| - `scores`: detection confidence scores | |
| ## Description | |
| The dataset was created by extracting frames from drone videos, running a fine-tuned YOLO detector, and keeping only frames with at least one detection. | |
| This dataset was prepared for an academic drone detection and tracking assignment at NYU for the Intro to AI class Spring 2026. | |