Dataset Versions

v4

2023-11-20 3:35pm

Generated on Nov 20, 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 88%
1668Images
Valid Set 8%
153Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -50% and +50%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%

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