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v50
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2 years ago
v17
v49
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v16
v47
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2 years ago
v15
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v13
v44
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v12
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V11
v38
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2 years ago
v10
v37
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2 years ago
v9
v36
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2 years ago
v8
v35
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2 years ago
v7
v30
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2 years ago
V6_benchmark
v27
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2 years ago
v5
v16
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2 years ago
v4_extraNullImages
v15
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2 years ago
V4_withTiling_fixedLabels_faulty
v14
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2 years ago
V3_withoutTiling
v13
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2 years ago
V2
v8
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2 years ago
v13

V3_withoutTiling

Generated on Oct 8, 2022
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739 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 78%
579Images
Valid Set 13%
96Images
Test Set 9%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.25px

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