Dataset Versions

v1

2024-12-15 8:23pm

Generated on Dec 15, 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%
957Images
Valid Set 8%
91Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -1° and +1°
Saturation: Between -10% and +10%
Brightness: Between -4% and +4%
Exposure: Between -4% and +4%
Noise: Up to 0.1% of pixels

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