Dataset Versions

v5

2023-01-31 12:20pm

Generated on Jan 31, 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 25% of images
Hue: Between -32° and +32°
Saturation: Between -76% and +76%
Brightness: Between -27% and +27%
Exposure: Between -13% and +13%
Noise: Up to 4% of pixels