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
v17

2023-03-12 11:53am

Generated on Mar 12, 2023
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3253 Total Images

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Dataset Split

Train Set 71%
2304Images
Valid Set 17%
544Images
Test Set 12%
405Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 8 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Grayscale: Apply to 11% of images
Brightness: Between -25% and +25%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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