Bird_image Dataset

v35

2024-01-15 12:26am

Generated on Jan 14, 2024

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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 96%
4236Images
Valid Set 2%
82Images
Test Set 2%
107Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±10° Vertical
Grayscale: Apply to 41% of images
Hue: Between -53° and +53°
Saturation: Between -41% and +41%
Brightness: Between -40% and +40%
Exposure: Between -37% and +37%
Blur: Up to 10.9px
Noise: Up to 10% of pixels
Cutout: 10 boxes with 19% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 16% Maximum Zoom
Bounding Box: Rotation: Between -17° and +17°
Bounding Box: Shear: ±8° Horizontal, ±11° Vertical
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 1.3px
Bounding Box: Noise: Up to 2% of pixels