Dataset Versions

v4

2024-07-02 2:48am

Generated on Jul 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 88%
10218Images
Valid Set 8%
974Images
Test Set 4%
485Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±6° Horizontal, ±6° Vertical
Saturation: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 0.61% of pixels