Dataset Versions

v11

2023-08-30 9:30pm

Generated on Aug 30, 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 88%
2913Images
Valid Set 8%
279Images
Test Set 4%
129Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 17% of images
Brightness: Between -24% and +24%
Exposure: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 10% of pixels

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