Dataset Versions

v3

2024-07-10 5:18pm

Generated on Jul 10, 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 89%
285Images
Valid Set 6%
19Images
Test Set 5%
16Images

Preprocessing

Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 21% of images
Saturation: Between -26% and +26%
Brightness: Between -22% and +22%
Exposure: Between -15% and +15%

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