Dataset Versions

Versions
2023-11-21 2:47pm
v7
·
a year ago
2023-11-20 10:59am
v6
·
a year ago
2023-11-08 5:51pm
v5
·
a year ago
2023-11-07 2:24pm
v4
·
a year ago
2023-11-07 1:44pm
v3
·
a year ago
2023-11-07 12:59pm
v2
·
a year ago
2023-11-07 12:55pm
v1
·
a year ago
v7

2023-11-21 2:47pm

Generated on Nov 21, 2023
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474 Total Images

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Dataset Split

Train Set 94%
444Images
Valid Set 6%
30Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -70° and +70°
Brightness: Between -14% and +14%
Noise: Up to 3% of pixels

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