Dataset Versions

v6

nino nyoba malem malem

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.
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Dataset Split

Train Set 82%
420Images
Valid Set 15%
75Images
Test Set 3%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 100% of images
Hue: Between -65° and +65°
Saturation: Between -27% and +27%
Brightness: Between -10% and +10%
Exposure: Between -8% and +8%
Noise: Up to 3% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -10% and +10%

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