Dataset Versions

v5

2022-12-20 10:13am

Generated on Dec 20, 2022

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.
Other Formats
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Dataset Split

Train Set 83%
993Images
Valid Set 7%
81Images
Test Set 10%
116Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Exposure: Between -30% and +30%
Bounding Box: Shear: ±18° Horizontal, ±18° Vertical
Bounding Box: Blur: Up to 2.25px

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