Dataset Versions

v2

2023-10-02 6:31pm

Generated on Oct 2, 2023

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 95%
5046Images
Valid Set 3%
153Images
Test Set 2%
120Images

Preprocessing

Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -18° and +18°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -33% and +33%
Blur: Up to 3.25px
Noise: Up to 7% of pixels
Mosaic: Applied