ImageClassification50 Dataset
v3
DataSet-11-06-24
Generated on Jun 11, 2024
908 Total Images
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Dataset Split
Train Set 88%
795Images
Valid Set 8%
75Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.25% of pixels