Dataset Versions

v2

2024-04-19 11:42pm

Generated on Apr 20, 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%
2064Images
Valid Set 8%
176Images
Test Set 4%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Grayscale: Apply to 22% of images
Hue: Between -21° and +21°
Saturation: Between -29% and +29%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 4.3px

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