Dataset Versions

v11

garbage_v5

Generated on May 25, 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 91%
2400Images
Valid Set 5%
137Images
Test Set 4%
100Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -41° and +41°
Shear: ±31° Horizontal, ±32° Vertical
Hue: Between -74° and +74°
Brightness: Between -10% and +10%
Blur: Up to 6px
Noise: Up to 3% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -30° and +30°
Bounding Box: Shear: ±23° Horizontal, ±24° Vertical
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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