Dataset Versions

v2

2024-10-01 12:06pm

Generated on Oct 1, 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 78%
1224Images
Valid Set 18%
290Images
Test Set 4%
60Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Hue: Between -80° and +80°
Brightness: Between 0% and +43%
Blur: Up to 0.4px

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