Dataset Versions

v4

2022-10-05 10:08pm

Generated on Oct 6, 2022

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%
8442Images
Valid Set 8%
806Images
Test Set 4%
397Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 24 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -10° and +10°
Noise: Up to 5% of pixels
Cutout: 3 boxes with 4% size each

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