Dataset Versions

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Versions
2023-10-24 7:22am
v30
·
a year ago
Tiled
v29
·
a year ago
HQ_delval
v26
·
a year ago
HQ_val
v25
·
a year ago
LQ_delval
v24
·
a year ago
LQ_val
v23
·
a year ago
2023-10-18 12:03pm
v22
·
a year ago
2023-10-18 12:00pm
v21
·
a year ago
ERSGAN_LQ
v19
·
a year ago
LQ_deleteval-
v15
·
a year ago
LQ_with_val
v14
·
a year ago
2023-10-10 6:01pm
v12
·
a year ago
2023-10-10 6:00pm
v11
·
a year ago
2023-10-10 5:58pm
v10
·
a year ago
2023-10-09 11:43am
v9
·
a year ago
2023-10-09 11:33am
v8
·
a year ago
2023-09-29 11:56am
v1
·
a year ago
v14

LQ_with_val

Generated on Oct 12, 2023
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1200 Total Images

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Dataset Split

Train Set 88%
1050Images
Valid Set 13%
150Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 768x448
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 94% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 5% of pixels

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