Dataset Versions

v2

2023-12-21 9:10am

Generated on Dec 21, 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 87%
1074Images
Valid Set 8%
102Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -47% and +47%
Exposure: Between -25% and +25%
Blur: Up to 3.25px
Bounding Box: Shear: ±25° Horizontal, ±19° Vertical

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