Dataset Versions

v6

2023-02-13 2:11pm

Generated on Feb 13, 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.
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Dataset Split

Train Set 100%
1518Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±15° Horizontal, ±8° Vertical
Grayscale: Apply to 67% of images
Hue: Between -69° and +69°
Saturation: Between -25% and +25%
Brightness: Between -31% and +31%
Exposure: Between -25% and +25%