Dataset Versions

v8

2024-05-25 10:08am

Generated on May 25, 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 92%
8869Images
Valid Set 6%
534Images
Test Set 3%
261Images

Preprocessing

Static Crop: 10-90% Horizontal Region, 5-60% Vertical Region
Resize: Fit (black edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 5
Rotation: Between -10° and +10°
Blur: Up to 1.5px

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