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QuailModel sample: QM Synthetic Airspace: Drone vs Fixed-wing vs Bird

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  1. README.md +46 -0
  2. data.yaml +8 -0
  3. images/test/qm_air3_000064.jpg +3 -0
  4. images/test/qm_air3_000640.jpg +3 -0
  5. images/test/qm_air3_000672.jpg +3 -0
  6. images/test/qm_air3_001120.jpg +3 -0
  7. images/test/qm_air3_001184.jpg +3 -0
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  29. images/train/qm_air3_000000.jpg +3 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - object-detection
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+ tags:
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+ - drone
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+ - uav
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+ - counter-uas
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+ - bird
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+ - synthetic
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+ - yolo
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+ pretty_name: "QM Synthetic Airspace: Drone vs Fixed-wing vs Bird"
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+ size_categories:
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+ - n<1K
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+ ---
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+ # QM Synthetic Airspace: Drone vs Fixed-wing vs Bird - Free Sample
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+
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+ Synthetic **airspace** images with pixel-exact YOLO boxes for three classes that counter-UAS systems must tell apart:
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+ **multirotor** drones (4/6/8 arms, 0.12-1.4 m), **fixed-wing** UAVs (0.8-3.5 m span) and **birds** (0.25-1.6 m).
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+ Rendered by QuailModel with Blender/Cycles from fully procedural, original geometry over physical skies with trees,
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+ buildings and cloud layers - no photos, no scraped data, no people.
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+
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+ ## Contents
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+ | split | images | boxes |
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+ |---|---|---|
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+ | train | 240 | 384 |
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+ | val | 34 | 44 |
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+ | test | 26 | 45 |
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+
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+ - Image size: 640x640 JPEG. Labels: YOLO txt, classes: 0 = multirotor, 1 = fixed_wing, 2 = bird. Images with an empty label file are true negatives (33 of 300).
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+ - Boxes per class: multirotor 241, fixed_wing 119, bird 113
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+ - `data.yaml` included - train directly with Ultralytics YOLO.
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+ - Box size distribution (fraction of image width): median 0.060, 26% of boxes are smaller than 16 px.
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+
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+ ## How it was made
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+ - Procedural generator: datasets/air3 (QuailModel original code).
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+ - Labels from exact projected mesh vertices; occlusion checked by ray casting; objects under 8 px dropped.
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+ - Train/val/test split 80/10/10 by file-name hash.
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+
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+
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+ ## Licence
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+ Sample edition: CC BY-NC-SA 4.0 (non-commercial). The full commercial edition (5000 images, commercial licence) is available from QuailModel: https://huggingface.co/quailrobot
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+
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+ ## Disclosure
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+ Generated with AI assistance: the procedural generator code was written with an AI model and every
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+ image is computer-rendered. Synthetic data should be validated on real footage before deployment.
data.yaml ADDED
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+ path: .
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+ train: images/train
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+ val: images/val
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+ test: images/test
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+ names:
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+ 0: multirotor
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+ 1: fixed_wing
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+ 2: bird
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