Dataset Versions

v1

2023-10-04 1:51pm

Generated on Oct 4, 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 90%
22779Images
Valid Set 6%
1456Images
Test Set 4%
951Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 420x420

Augmentations

Outputs per training example: 3
Saturation: Between -17% and +17%
Exposure: Between -23% and +23%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -21% and +21%
Bounding Box: Blur: Up to 1.5px

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