3d printing fail detection Dataset
Versions
2024-03-23 9:25pm
v9
· 7 months ago
2024-03-07 10:45am
v8
· 8 months ago
2024-02-04 8:23pm
v7
· 9 months ago
2024-02-01 1:22pm
v6
· 9 months ago
2024-02-01 12:54pm
v5
· 9 months ago
2024-01-18 11:12am
v4
· 9 months ago
2023-08-24 5:11pm
v3
· a year ago
2023-08-13 11:57pm
v2
· a year ago
2023-08-12 10:56pm
v1
· a year ago
v4
2024-01-18 11:12am
Generated on Jan 18, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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958 Total Images
View All ImagesDataset Split
Train Set 94%
900Images
Valid Set 4%
40Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 6
Flip: Horizontal, Vertical
Blur: Up to 1.5px