Dataset Versions

v7

2024-05-31 1:38am

Generated on May 30, 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 91%
16915Images
Valid Set 5%
1005Images
Test Set 4%
754Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -19% and +19%
Brightness: Between 0% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px

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