Dataset Versions

v1

2023-05-19 12:12pm

Generated on May 19, 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 96%
1854Images
Valid Set 3%
64Images
Test Set 0%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 350x350

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -49° and +49°
Brightness: Between -45% and +45%
Blur: Up to 2.5px

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