Dataset Versions

v21

2022-01-17 4:04am

Generated on Jan 17, 2022

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 80%
2778Images
Valid Set %
0Images
Test Set 20%
679Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels