Dataset Versions

v3

Versi3

Generated on Apr 4, 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 92%
993Images
Valid Set %
0Images
Test Set 8%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 300x300

Augmentations

Outputs per training example: 3
Shear: ±14° Horizontal, ±14° Vertical
Brightness: Between -24% and +24%
Blur: Up to 1.5px
Noise: Up to 1.8% of pixels

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