Dataset Versions

v41

2022-08-15 5:24pm

Generated on Aug 15, 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 100%
3096Images
Valid Set 0%
9Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Cutout: 3 boxes with 10% size each

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