Dataset Versions

v1

2023-05-23 2:24am

Generated on May 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.
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Dataset Split

Train Set 92%
10557Images
Valid Set 5%
577Images
Test Set 3%
307Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 420x420

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 100% of images
Saturation: Between -70% and +70%
Blur: Up to 2.25px

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