Additive-Manufacturing-Failures Dataset
Versions
faster rcnn
v7
· 3 years ago
2021-08-16 11:28pm
v6
· 3 years ago
2021-08-16 11:18pm
v5
· 3 years ago
Additive-Manufacturing-Failures Dataset
v4
· 3 years ago
Additive-Manufacturing-Failures Dataset
v3
· 3 years ago
Additive-Manufacturing-Failures Dataset
v2
· 3 years ago
Additive-Manufacturing-Failures Dataset
v1
· 3 years ago
v1
Additive-Manufacturing-Failures Dataset
Generated on Aug 16, 2021
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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 Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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300 Total Images
View All ImagesDataset Split
Train Set 100%
300Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 3
Grayscale: Apply to 100% of images
Blur: Up to 0.75px
Bounding Box: Shear: ±22° Horizontal, ±20° Vertical