deer_take_2 Dataset

v4

2023-10-07 8:07pm

Generated on Oct 8, 2023

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Dataset Split

Train Set 87%
6696Images
Valid Set 8%
652Images
Test Set 5%
364Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 1% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -27° and +27°
Grayscale: Apply to 67% of images
Saturation: Between -59% and +59%
Brightness: Between -63% and +63%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -65% and +65%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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