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drone-detection

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Check out the documentation for more information.

Drone Detection Sample Frames

This dataset contains the detections/ sample frames exported from Assignment 3 Task 1.

Contents

  • One row per saved frame that contains at least one drone detection
  • Embedded image bytes in a Hugging Face-compatible image column
  • Aggregated detection metadata for all boxes found in that frame

Schema

  • video_id: source video identifier
  • frame_index: sampled frame index within the extracted-frame sequence
  • frame_name: saved image filename
  • timestamp_sec: frame timestamp in the source video
  • image: struct with bytes and path
  • image_path: local path of the saved detection frame
  • width: frame width in pixels
  • height: frame height in pixels
  • num_detections: number of detections in the frame
  • max_confidence: highest confidence score in the frame
  • mean_confidence: mean confidence score across detections in the frame
  • detections: list of detection structs containing class/confidence/bounding box fields
  • detections_json: JSON copy of detections for quick inspection

Generation

The Parquet file is created from detections/detections.csv with:

python scripts/export_hf_detection_dataset.py \
  --detections_csv detections/detections.csv \
  --output_parquet detections/sample_frames.parquet \
  --copy_csv_summary
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