patrick malter

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deer_take_2

Object Detection

deer_take_2 Image Dataset

Versions
2023-10-10 7:32am
v11
Oct 10, 2023
2023-10-09 4:24pm
v10
Oct 9, 2023
2023-10-08 7:19pm
v9
Oct 8, 2023
2023-10-08 7:16pm
v8
Oct 8, 2023
2023-10-08 7:13pm
v7
Oct 8, 2023
2023-10-08 11:56am
v6
Oct 8, 2023
2023-10-08 11:53am
v5
Oct 8, 2023
2023-10-07 8:07pm
v4
Oct 8, 2023
2023-10-03 6:47am
v3
Oct 3, 2023
2023-10-03 6-34am
v2
Oct 3, 2023
2023-09-25 11:06am
v1
Sep 25, 2023
v7

2023-10-08 7:13pm

Generated on Oct 8, 2023
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2009 Total Images

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Dataset Split

Train Set 87%
1755Images
Valid Set 8%
163Images
Test Set 5%
91Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Grayscale: Apply to 18% of images
Saturation: Between -39% and +39%
Brightness: Between -49% and +49%
Blur: Up to 0.5px
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -27% and +27%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 5% of pixels