Dataset Versions

v4

2024-04-27 11:42pm

Generated on Apr 27, 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 87%
372Images
Valid Set 9%
37Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-75% Horizontal Region, 15-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±12° Vertical
Blur: Up to 0.6px