Dataset Versions

v1

2023-05-17 9:03pm

Generated on May 17, 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.
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Dataset Split

Train Set 85%
1275Images
Valid Set 9%
130Images
Test Set 6%
96Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 8% of images
Hue: Between -24° and +24°
Brightness: Between -25% and +25%

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