teeth detection and numbering Image Dataset
Versions
2023-04-08 12:02pm
v18
Apr 8, 2023
2023-04-08 5:26am
v17
Apr 8, 2023
2023-04-07 10:21pm
v16
Apr 7, 2023
2023-04-07 10:15pm
v14
Apr 7, 2023
2023-04-07 3:11am
v13
Apr 7, 2023
2023-04-06 2:34pm
v11
Apr 6, 2023
2023-03-22 12:38pm
v10
Mar 22, 2023
2023-03-21 10:33am
v9
Mar 21, 2023
2023-03-20 11:08am
v8
Mar 20, 2023
2023-03-19 3:03pm
v6
Mar 19, 2023
2023-03-16 12:53am
v5
Mar 15, 2023
2023-03-15 7:24pm
v2
Mar 15, 2023
2023-03-15 4:57pm
v1
Mar 15, 2023
v5
2023-03-16 12:53am
Generated on Mar 15, 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
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3198 Total Images
View All Images
Dataset Split
Train Set 87%
2790Images
Valid Set 8%
268Images
Test Set 4%
140Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±12° Horizontal, ±22° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 3% of pixels
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