Dataset Versions

v24

2024-06-24 3:14pm

Generated on Jun 24, 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 80%
7305Images
Valid Set 20%
1828Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x380
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 1.01% of pixels

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