Dataset Versions

Versions
2024-01-08 9:03am
v13
·
a year ago
2024-01-01 9:08am
v12
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a year ago
2024-01-01 5:10am
v11
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a year ago
2023-12-31 9:12pm
v10
·
a year ago
2023-12-31 2:34pm
v9
·
a year ago
2023-12-31 2:37am
v8
·
a year ago
2023-12-29 6:28am
v7
·
a year ago
2023-12-28 10:55pm
v6
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a year ago
2023-12-28 10:33pm
v5
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a year ago
2023-12-28 10:25pm
v4
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a year ago
2023-12-28 9:02pm
v3
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a year ago
2023-12-28 8:51pm
v2
·
a year ago
2023-12-28 1:59pm
v1
·
a year ago
v9

2023-12-31 2:34pm

Generated on Dec 31, 2023
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2588 Total Images

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Dataset Split

Train Set 86%
2232Images
Valid Set 10%
256Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: chuansong
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px

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