Dataset Versions

v3

2024-06-17 2:36pm

Generated on Jun 17, 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%
306Images
Valid Set 9%
30Images
Test Set 4%
15Images

Preprocessing

Resize: Fill (with center crop) in 1024x576
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -30% and +30%

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