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Indonesian Food

Object Detection

Indonesian Food Image Dataset

v2

2024-06-18 3:52pm

Generated on Jun 18, 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%
1947Images
Valid Set 8%
180Images
Test Set 5%
102Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 300x300
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

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°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.14% of pixels