Dataset Versions

v14

2024-09-17 5-31am

Generated on Sep 17, 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 88%
1062Images
Valid Set 8%
101Images
Test Set 4%
48Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels