Occlusal caries detection Image Dataset
Versions
2023-04-05 7:31pm
v10
Apr 5, 2023
2023-01-31 11:54am
v9
Jan 31, 2023
2023-01-25 11:25pm
v8
Jan 26, 2023
2023-01-21 7:15pm
v7
Jan 22, 2023
2023-01-21 7:04pm
v6
Jan 22, 2023
2023-01-21 7:00pm
v5
Jan 22, 2023
2023-01-20 5:01pm
v4
Jan 20, 2023
2023-01-19 5:40pm
v3
Jan 19, 2023
2023-01-19 4:10pm
v2
Jan 19, 2023
2023-01-19 4:07pm
v1
Jan 19, 2023
v3
2023-01-19 5:40pm
Generated on Jan 19, 2023
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YOLOv8
TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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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
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333 Total Images
View All Images
Dataset Split
Train Set 86%
288Images
Valid Set 12%
39Images
Test Set 2%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
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