Dataset Versions

v12

2024-05-06 5:58pm

Generated on May 6, 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 94%
168Images
Valid Set 4%
7Images
Test Set 2%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Grayscale: Applied

Augmentations

Outputs per training example: 7
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -22% and +22%
Exposure: Between -15% and +15%

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