Dataset Versions

v1

2024-05-14 7:31pm

Generated on May 14, 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%
855Images
Valid Set 8%
82Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Static Crop: 11-86% Horizontal Region, 25-81% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Noise: Up to 1.01% of pixels

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