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falcataria

Classification

falcataria Image Dataset

Try Pre-Trained Model
Versions
2024-01-26 9:11am
v5
Jan 26, 2024
with rust - random obj
v4
Jan 25, 2024
with rust
v3
Jan 25, 2024
adjusted size
v2
Jan 25, 2024
2024-01-26 5:51am
v1
Jan 25, 2024
v2

adjusted size

Generated on Jan 25, 2024
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400 Total Images

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Dataset Split

Train Set 87%
348Images
Valid Set 9%
36Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 400x400
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 1px