Dataset Versions

v10

60 epoch

Generated on Jan 2, 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 80%
1299Images
Valid Set 12%
202Images
Test Set 8%
132Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-83% Horizontal Region, 0-50% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Brightness: Between -24% and +24%