Dataset Versions

v7

2023-02-05 11:10pm

Generated on Feb 5, 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 86%
345Images
Valid Set 8%
32Images
Test Set 6%
22Images

Preprocessing

Resize: Stretch to 940x1260

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 80% of images
Hue: Between -142° and +142°
Saturation: Between -51% and +51%
Brightness: Between -27% and +27%
Exposure: Between -21% and +21%
Noise: Up to 13% of pixels