Dataset Versions

v1

2023-08-13 5:39pm

Generated on Aug 13, 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 88%
1113Images
Valid Set 8%
106Images
Test Set 4%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±20° Horizontal, ±25° Vertical
Grayscale: Apply to 10% of images
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels

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