Dataset Versions

v5

2024-04-05 7:01pm

Generated on Apr 5, 2024

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 90%
826Images
Valid Set 7%
60Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x1080
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 7
Grayscale: Apply to 10% of images
Brightness: Between -23% and +23%
Blur: Up to 2.7px
Noise: Up to 1.56% of pixels

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