Dataset Versions

v6

2023-08-20 3:38pm

Generated on Aug 20, 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.
Other Formats
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Dataset Split

Train Set 94%
13092Images
Valid Set 3%
425Images
Test Set 3%
426Images

Preprocessing

Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Hue: Between -16° and +16°
Brightness: Between -9% and +9%
Exposure: Between -2% and +2%
Blur: Up to 1.5px

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