Dataset Versions

v5

2023-08-09 7:34pm

Generated on Aug 9, 2023

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.
Other Formats
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Dataset Split

Train Set 88%
2538Images
Valid Set 8%
241Images
Test Set 4%
119Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 10% of images
Hue: Between -17° and +17°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1px
Cutout: 6 boxes with 2% size each
Mosaic: Applied