Dataset Versions

v2

2023-05-30 4:45pm

Generated on May 30, 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.
Other Formats
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Dataset Split

Train Set 96%
2450Images
Valid Set 3%
69Images
Test Set 2%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1088x1088

Augmentations

Outputs per training example: 10
Grayscale: Apply to 50% of images
Hue: Between -45° and +45°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -35% and +35%
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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