Dataset Versions

v1

2023-07-24 6:45pm

Generated on Jul 24, 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 81%
10854Images
Valid Set 12%
1570Images
Test Set 7%
1006Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±22° Horizontal, ±34° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -38% and +38%
Blur: Up to 4px
Noise: Up to 13% of pixels
Bounding Box: Blur: Up to 4.25px

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