Dataset Versions

v1

2024-03-19 7:58pm

Generated on Mar 19, 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%
3036Images
Valid Set 13%
434Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-87% Horizontal Region, 25-99% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Exposure: Between -10% and +10%