Dataset Versions

v4

2023-06-08 3:14pm

Generated on Jun 8, 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 91%
1677Images
Valid Set 6%
117Images
Test Set 3%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Saturation: Between -17% and +17%
Brightness: Between -15% and +15%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Shear: ±9° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -15% and +15%