Dataset Versions

v32

grant-ex

Generated on Feb 29, 2020

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 91%
450Images
Valid Set 6%
29Images
Test Set 3%
17Images

Preprocessing

Resize: Fill (with center crop) in 500x500

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels