Dataset Versions

v11

2023-04-22 2:20pm

Generated on Apr 22, 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%
13023Images
Valid Set 6%
864Images
Test Set 4%
587Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 6px

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