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
v11

2023-10-10 7:32am

Generated on Oct 10, 2023
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3001 Total Images

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Dataset Split

Train Set 88%
2652Images
Valid Set 7%
221Images
Test Set 4%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Shear: ±19° Horizontal, ±19° Vertical
Grayscale: Apply to 18% of images
Saturation: Between -21% and +21%
Brightness: Between -38% and +38%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -27% and +27%
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 5% of pixels