Additive-Manufacturing-Failures Image Dataset
Versions
faster rcnn
v7
Aug 17, 2021
2021-08-16 11:28pm
v6
Aug 16, 2021
2021-08-16 11:18pm
v5
Aug 16, 2021
Additive-Manufacturing-Failures Dataset
v4
Aug 16, 2021
Additive-Manufacturing-Failures Dataset
v3
Aug 16, 2021
Additive-Manufacturing-Failures Dataset
v2
Aug 16, 2021
Additive-Manufacturing-Failures Dataset
v1
Aug 16, 2021
v7
faster rcnn
Generated on Aug 17, 2021
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.
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241 Total Images
View All Images
Dataset Split
Train Set 93%
224Images
Valid Set 7%
16Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Augmentations
Outputs per training example: 3
Grayscale: Apply to 50% of images
Brightness: Between 0% and +26%
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