Dataset Versions

v4

2023-02-10 6:11pm

Generated on Feb 10, 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 75%
3786Images
Valid Set 15%
757Images
Test Set 10%
505Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 1
Grayscale: Apply to 100% of images
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -10% and +10%

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