Dataset Versions

v1

2022-08-13 7:10pm

Generated on Aug 13, 2022

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%
3954Images
Valid Set 8%
366Images
Test Set 5%
214Images

Preprocessing

Resize: Fit (black edges) in 960x960

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 2% of images
Brightness: Between -16% and +16%
Blur: Up to 1px
Bounding Box: Brightness: Between -12% and +12%

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