Dataset Versions

v6

2024-10-12 6:14am

Generated on Oct 12, 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.
Other Formats
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Dataset Split

Train Set 95%
861Images
Valid Set 4%
34Images
Test Set 2%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -13% and +13%
Blur: Up to 1.7px
Noise: Up to 1.76% of pixels

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