Dataset Versions

v3

2023-08-26 11:29am

Generated on Aug 26, 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 89%
357Images
Valid Set 8%
33Images
Test Set 3%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±16° Horizontal, ±14° Vertical
Grayscale: Apply to 31% of images
Blur: Up to 0.25px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±11° Horizontal, ±11° Vertical
Bounding Box: Noise: Up to 5% of pixels

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