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imagewidth (px)
640
640
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4
4
confidence
float32
0.3
0.81
video
stringclasses
2 values
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2.91k
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2,871
End of preview. Expand in Data Studio

Drone Detection Frames

Detection frames extracted from two UAV drone videos as part of Assignment 3 (AI Spring 2026 — University of the Aegean).

Dataset Description

Frames were extracted from two YouTube videos containing drone footage. A YOLOv8n model fine-tuned on the Drone Detection dataset (v6) was used to detect drones in every frame. Only frames with at least one detection were saved.

Out of 3599 total detection frames across both videos, every 10th frame was uploaded (124 frames total) to keep the dataset size manageable.

Columns

Column Type Description
image Image The video frame (resized to 640×360)
bbox List[float] Bounding box of the detected drone [x1, y1, x2, y2]
confidence float Detection confidence score from YOLOv8
video string Which video the frame came from (drone_video_1 or drone_video_2)
frame_idx int Frame number in the original video

Source Videos

Model

YOLOv8n fine-tuned for 30 epochs on the Roboflow Drone Detection dataset (v6). Confidence threshold of 0.3 used at inference.

License

CC BY 4.0

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