Dataset Versions

v20

2023-12-21 12:06pm

Generated on Dec 21, 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%
1911Images
Valid Set 8%
183Images
Test Set 4%
89Images

Preprocessing

Static Crop: 1-100% Horizontal Region, 1-100% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 50% of images
Brightness: Between -50% and +50%
Blur: Up to 6.25px
Noise: Up to 10% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between 0% and +36%
Bounding Box: Blur: Up to 4.5px
Bounding Box: Noise: Up to 10% of pixels