Dataset Versions

v2

2024-07-30 2:18pm

Generated on Jul 30, 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%
1143Images
Valid Set 8%
109Images
Test Set 4%
54Images

Preprocessing

Auto-Orient: Applied
Static Crop: 11-89% Horizontal Region, 22-87% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 0.4px