Dataset Versions

v4

2024-08-05 10:10am

Generated on Aug 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 89%
1200Images
Valid Set 8%
112Images
Test Set 3%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Saturation: Between -31% and +31%
Brightness: Between -19% and +19%
Exposure: Between -10% and +10%

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