Dataset Versions
v11
2024-10-16 2:39am
Generated on Oct 16, 2024
12283 Total Images
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Dataset Split
Train Set 88%
10794Images
Valid Set 8%
989Images
Test Set 4%
500Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Modify Classes: 39 remapped, 4 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels