Dataset Versions

v8

2024-11-01 3:29am

Generated on Nov 1, 2024

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 70%
42Images
Valid Set 20%
12Images
Test Set 10%
6Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fill (with center crop) in 110x111

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Hue: Between -18° and +18°
Brightness: Between 0% and +56%
Blur: Up to 6.6px

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