FacadeSegmentation Dataset

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final_v1_webpv_noaug_alltrain
v16
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3 months ago
final_v1_gsvpv_noaug_alltrain
v15
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3 months ago
final_v1_gsv_noaug_alltrain
v14
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3 months ago
v13_gsv_gsvpv_pv
v13
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3 months ago
v12_gsv_gsvpv_webpv_facade_pvfacade_pvpanel
v12
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3 months ago
v11_gsv_gsvpv_webpv_pvfacade
v11
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3 months ago
v10_gsvpv_webpv_pvpanel
v10
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3 months ago
v9_gsv_gsvpv_pvpanel
v9
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3 months ago
v8_gsv_gsvpv_pv
v8
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3 months ago
v7_gsv_gsvpv_webpv_facade
v7
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3 months ago
v6_gsv_gsvpv_facade_pvpanel
v6
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3 months ago
v4
v4
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3 months ago
v3
v3
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3 months ago
v2
v2
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3 months ago
v1
v1
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3 months ago
v9

v9_gsv_gsvpv_pvpanel

Generated on Jul 7, 2024
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Dataset Split

Train Set 79%
321Images
Valid Set 11%
44Images
Test Set 10%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Brightness: Between -25% and +25%

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