4-classes_best-annotated Image Dataset
Versions
2023-11-09 3:53pm
v16
Nov 9, 2023
2023-08-29 9:57am
v15
Aug 29, 2023
2023-07-10 9:23am
v14
Jul 10, 2023
2023-05-15 4:50pm
v13
May 15, 2023
2023-05-15 4:45pm
v12
May 15, 2023
Defect Detection Web Application
v11
Feb 14, 2023
2023-01-04 12:44pm
v10
Jan 4, 2023
2022-12-16 10:37am
v8
Dec 16, 2022
2022-12-07 11:33am
v5
Dec 7, 2022
2022-12-02 3:58pm
v4
Dec 2, 2022
v8
2022-12-16 10:37am
Generated on Dec 16, 2022
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.
1425 Total Images
View All Images
Dataset Split
Train Set 76%
1083Images
Valid Set 16%
233Images
Test Set 8%
109Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 4 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±15° Horizontal, ±15° Vertical
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