Dataset Versions

v10

2024-05-30 12:12pm

Generated on May 30, 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 88%
522Images
Valid Set 9%
51Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 80x80
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Saturation: Between -19% and +19%
Brightness: Between -11% and +0%
Blur: Up to 0.6px

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