Dataset Versions

v2

2024-09-11 7:13pm

Generated on Sep 11, 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 93%
496Images
Valid Set 4%
23Images
Test Set 2%
12Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Shear: ±17° Horizontal, ±24° Vertical
Blur: Up to 1.5px
Noise: Up to 2.32% of pixels

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