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Object Detection

trash Final Image Dataset

v7

2024-01-27 12:43am

Generated on Jan 26, 2024

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 87%
552Images
Valid Set 8%
53Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-66% Horizontal Region, 30-86% Vertical Region
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±14° Vertical
Grayscale: Apply to 23% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%
Blur: Up to 3.7px
Noise: Up to 1.29% of pixels
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225 images