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GrapeHealth

Classification

GrapeHealth Image Dataset

Try Pre-Trained Model
Versions
2023-11-06 12:07pm
v6
·
8 months ago
2023-03-10 1:49pm
v5
·
a year ago
2023-03-10 1:39pm
v4
·
a year ago
2023-03-10 1:31pm
v3
·
a year ago
v6

2023-11-06 12:07pm

Generated on Nov 6, 2023
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4597 Total Images

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Dataset Split

Train Set 97%
4458Images
Valid Set 3%
139Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Rotation: Between -25° and +25°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Blur: Up to 3px