Dataset Versions

v6

ROV_3

Generated on Apr 2, 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.
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Dataset Split

Train Set 87%
357Images
Valid Set 8%
34Images
Test Set 4%
18Images

Preprocessing

Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -49% and +49%
Blur: Up to 3px
Noise: Up to 11% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 8% of pixels