Dataset Versions

v3

2023-12-30 10:36am

Generated on Dec 30, 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.
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Dataset Split

Train Set 88%
6255Images
Valid Set 8%
596Images
Test Set 4%
295Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -30° and +30°
Grayscale: Apply to 30% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Mosaic: Applied

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