Dataset Versions

Versions
Classification-v3.2
v6
·
7 months ago
Classification-v3.5
v5
·
7 months ago
Classification-v3.4
v4
·
7 months ago
Classification-v3.3
v3
·
7 months ago
Classification-v3.1
v1
·
7 months ago
v6

Classification-v3.2

Generated on Apr 20, 2024
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Dataset Split

Train Set 94%
50813Images
Valid Set 3%
1716Images
Test Set 3%
1712Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -180° and +180°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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