Dataset Versions

v5

2023-10-30 2:46pm

Generated on Oct 30, 2023

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%
1026Images
Valid Set 5%
59Images
Test Set 3%
28Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -2° and +2°
Grayscale: Apply to 25% of images
Hue: Between -27° and +27°
Blur: Up to 1px
Noise: Up to 2% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 3% of pixels

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