Dataset Versions

v1

2023-07-27 3:46pm

Generated on Jul 27, 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 93%
9360Images
Valid Set 4%
451Images
Test Set 3%
303Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 144x144
Grayscale: Applied

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 26% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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