Dataset Versions

v3

with grayscale

Generated on Jan 31, 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%
1644Images
Valid Set 7%
128Images
Test Set 5%
103Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Saturation: Between -25% and +25%
Blur: Up to 1.4px
Noise: Up to 0.22% of pixels

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