Dataset Versions

v3

2024-12-11 4:12pm

Generated on Dec 11, 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.
Other Formats
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Dataset Split

Train Set 88%
1263Images
Valid Set 8%
120Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 28-95% Vertical Region
Resize: Stretch to 200x200

Augmentations

Outputs per training example: 3
Exposure: Between -10% and +10%
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical