Dataset Versions

v14

2023-09-26 10:28pm

Generated on Sep 26, 2023

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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 98%
2811Images
Valid Set 1%
36Images
Test Set 1%
32Images

Preprocessing

Resize: Fit (white edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Brightness: Between -23% and +23%
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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