Dataset Versions

v1

2024-07-05 6:29pm

Generated on Jul 5, 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%
222Images
Valid Set 8%
21Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.34% of pixels

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