Dataset Versions

v5

2024-11-30 1:07pm

Generated on Nov 30, 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 88%
8619Images
Valid Set 8%
767Images
Test Set 4%
384Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.5px

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