Dataset Versions

v4

2024-09-23 3:20pm

Generated on Sep 23, 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 87%
7914Images
Valid Set 9%
800Images
Test Set 4%
400Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between 0% and +20%
Blur: Up to 2px

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