Dataset Versions

v3

collected_resized and augmented

Generated on Feb 21, 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 95%
555Images
Valid Set 3%
18Images
Test Set 2%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 768x1024

Augmentations

Outputs per training example: 3
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 0.5px