Dataset Versions

v6

2024-06-30 1:00pm

Generated on Jun 30, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
3162Images
Valid Set 8%
292Images
Test Set 4%
148Images

Preprocessing

Isolate Objects: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -12° and +12°
Grayscale: Apply to 2% of images
Hue: Between -4° and +4°
Brightness: Between -50% and +50%
Exposure: Between -18% and +18%
Cutout: 7 boxes with 3% size each

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