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textile-defect-detection-aaajl/1
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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
v1
2024-09-21 6:50am
Generated on Sep 21, 2024
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
YOLOv9
TXT annotations and YAML config
used with
YOLOv9
.
YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
.
YOLOv7
TXT annotations and YAML config
used with
YOLOv7
.
COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
.
YOLO Darknet
Darknet TXT annotations
used with
YOLO Darknet
(both v3 and v4) and
YOLOv3 PyTorch
.
Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format
used for both
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Tensorflow 2.0 Object Detection
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PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
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174
Total Images
View All Images
Dataset Split
Train Set
88%
153
Images
Valid Set
8%
14
Images
Test Set
4%
7
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Grayscale:
Applied
Augmentations
Outputs per training example:
3
Shear:
±20° Horizontal, ±9° Vertical
Bounding Box: Flip:
Horizontal
Bounding Box: 90° Rotate:
Clockwise, Counter-Clockwise
Bounding Box: Brightness:
Between -15% and +15%
Bounding Box: Noise:
Up to 0.1% of pixels
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