Dataset Versions

v5

2023-03-02 3:19pm

Generated on Mar 2, 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 87%
1530Images
Valid Set 8%
149Images
Test Set 5%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Grayscale: Apply to 25% of images
Saturation: Between -49% and +49%
Noise: Up to 5% of pixels

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