dental annotation Image Dataset
Versions
Augmented RCNN
v16
Mar 27, 2024
Faster RCNN no Augmentation
v14
Mar 22, 2024
2024-02-26 7:09pm
v12
Feb 26, 2024
2024-02-26 6:36pm
v11
Feb 26, 2024
more Aug-640
v10
Feb 24, 2024
no flipping- 640
v9
Feb 22, 2024
no flipping no under presented
v8
Feb 17, 2024
no flipping
v7
Feb 17, 2024
ALL Data
v6
Feb 2, 2024
First Version
v5
Nov 28, 2023
v11
2024-02-26 6:36pm
Generated on Feb 26, 2024
Popular Download Formats
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.
Other Formats
Choose another format.
10332 Total Images
View All Images
Dataset Split
Train Set 88%
9045Images
Valid Set 8%
855Images
Test Set 4%
432Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -13% and +13%
Noise: Up to 1.05% of pixels
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