Dataset Versions

Versions
2023-10-30 3:18pm
v23
·
a year ago
2023-09-13 1:11am
v22
·
a year ago
2023-08-15 9:27pm
v21
·
a year ago
2023-05-15 8:53am
v20
·
2 years ago
2023-05-01 12:09am
v19
·
2 years ago
2023-03-12 11:53am
v17
·
2 years ago
2023-02-24 8:34am
v16
·
2 years ago
2023-02-24 8:31am
v15
·
2 years ago
2023-02-23 10:56pm
v14
·
2 years ago
2023-02-23 10:54pm
v13
·
2 years ago
2023-02-23 10:50pm
v12
·
2 years ago
2023-02-23 9:23pm
v11
·
2 years ago
2023-02-23 3:49pm
v10
·
2 years ago
2023-02-18 11:43am
v9
·
2 years ago
2023-02-10 11:53am
v6
·
2 years ago
v22

2023-09-13 1:11am

Generated on Sep 13, 2023
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22184 Total Images

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Dataset Split

Train Set 87%
19302Images
Valid Set 9%
1924Images
Test Set 4%
958Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 14 remapped, 5 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 11% of images
Brightness: Between -25% and +25%
Blur: Up to 3.75px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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