Dataset Versions

v14

2024-12-25 6:20pm

Generated on Dec 25, 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 88%
13248Images
Valid Set 9%
1434Images
Test Set 3%
440Images

Preprocessing

Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Grayscale: Apply to 0% of images
Brightness: Between -21% and +21%
Blur: Up to 0.6px
Noise: Up to 0.29% of pixels

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