Dataset Versions

v5

2023-07-03 3:44pm

Generated on Jul 3, 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.
Other Formats
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Dataset Split

Train Set 88%
2118Images
Valid Set 8%
182Images
Test Set 4%
105Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -30% and +30%
Noise: Up to 20% of pixels