cad detector Image Dataset
Versions
2023-02-04 2:29am
v14
Feb 3, 2023
2023-01-29 2:17am
v13
Jan 28, 2023
2023-01-28 7:56pm
v12
Jan 28, 2023
2023-01-28 7:20am
v11
Jan 28, 2023
2023-01-27 11:09pm
v10
Jan 27, 2023
2023-01-27 1:39am
v9
Jan 26, 2023
2023-01-26 9:03pm
v8
Jan 26, 2023
2023-01-26 3:05pm
v7
Jan 26, 2023
2023-01-26 12:45am
v6
Jan 25, 2023
2023-01-26 12:44am
v5
Jan 25, 2023
2023-01-26 12:40am
v4
Jan 25, 2023
2023-01-26 12:40am
v3
Jan 25, 2023
2023-01-26 12:40am
v2
Jan 25, 2023
2023-01-26 12:39am
v1
Jan 25, 2023
v12
2023-01-28 7:56pm
Generated on Jan 28, 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.
87 Total Images
View All ImagesDataset Split
Train Set 90%
78Images
Valid Set 3%
3Images
Test Set 7%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 8% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Shear: ±9° Horizontal, ±13° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 3px
Cutout: 4 boxes with 30% size each
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