Defect_Detection Image Dataset
Versions
OriginalResized
v20
Jan 4, 2024
original
v19
Nov 8, 2023
2023-11-07 2:37am
v18
Nov 7, 2023
-Defects- Removed
v17
Nov 3, 2023
2023-11-01 11:09pm
v16
Nov 2, 2023
2023-04-05 3:33am
v13
Apr 4, 2023
2023-04-05 2:56am
v12
Apr 4, 2023
2023-03-20 9:11pm
v11
Mar 20, 2023
2023-02-26 4:01am
v10
Feb 25, 2023
2023-01-07 2:33am
v9
Jan 6, 2023
2023-01-03 5:09am
v8
Jan 3, 2023
2023-01-02 11:10pm
v7
Jan 2, 2023
2023-01-02 8:57pm
v6
Jan 2, 2023
2023-01-02 5:12am
v5
Jan 2, 2023
2022-12-21 11:49am
v4
Dec 21, 2022
2022-12-21 10:00am
v3
Dec 21, 2022
2022-12-12 3:57am
v2
Dec 11, 2022
2022-10-28 2:38am
v1
Oct 27, 2022
v17
-Defects- Removed
Generated on Nov 3, 2023
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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 Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2098 Total Images
View All Images
Dataset Split
Train Set 94%
1980Images
Valid Set 4%
88Images
Test Set 1%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 736x736
Augmentations
Outputs per training example: 3
Hue: Between -6° and +6°
Saturation: Between -15% and +15%
Bounding Box: Noise: Up to 1% of pixels
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