Dataset Versions
v1
2024-08-02 7:56am
Generated on Aug 2, 2024
360 Total Images
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Dataset Split
Train Set 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Filter Null: Require at least 10% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Vertical
Rotation: Between -15° and +15°
Blur: Up to 0.7px
Noise: Up to 0.42% of pixels