Dataset Versions

v2

2024-06-24 9:20pm

Generated on Jun 24, 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 85%
324Images
Valid Set 9%
33Images
Test Set 6%
24Images

Preprocessing

Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 10% of pixels
Bounding Box: Rotation: Between -5° and +5°

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