Dataset Versions

v1

2022-08-19 12:11pm

Generated on Aug 19, 2022

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%
306Images
Valid Set 9%
30Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -29° and +29°
Shear: ±16° Horizontal, ±15° Vertical
Hue: Between -73° and +73°
Brightness: Between -24% and +24%
Blur: Up to 2px
Cutout: 4 boxes with 11% size each

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