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textile-defect-detection-aaajl/9 (latest)
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Textile Defect Detection
Object Detection
Overview
Images
69
Dataset
9
Model
3
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-10-15 5:37pm
v9
·
5 months ago
2024-10-15 4:01pm
v8
·
5 months ago
2024-10-05 2:53am
v7
·
6 months ago
2024-09-21 4:32pm
v6
·
6 months ago
2024-09-21 3:47pm
v5
·
6 months ago
2024-09-21 9:35am
v4
·
6 months ago
2024-09-21 9:23am
v3
·
6 months ago
2024-09-21 9:04am
v2
·
6 months ago
2024-09-21 6:50am
v1
·
6 months ago
v9
2024-10-15 5:37pm
Generated on Oct 15, 2024
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YOLOv11
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TXT annotations and YAML config
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
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YOLOv5
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YOLOv7
TXT annotations and YAML config
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EfficientDet Pytorch
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Darknet TXT annotations
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YOLOv3 PyTorch
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Pascal VOC XML
Common
XML annotation format
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652
Total Images
View All Images
Dataset Split
Train Set
87%
564
Images
Valid Set
10%
64
Images
Test Set
4%
24
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Adaptive Equalization
Tile:
2 rows x 2 columns
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Hue:
Between -15° and +15°
Brightness:
Between -25% and +25%
Noise:
Up to 0% of pixels
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