Odentoid Image Dataset
Versions
2022-10-06 1:13am
v12
Oct 5, 2022
2022-10-06 1:13am
v11
Oct 5, 2022
2022-10-06 1:13am
v10
Oct 5, 2022
2022-10-06 1:13am
v9
Oct 5, 2022
2022-10-06 1:13am
v8
Oct 5, 2022
2022-10-06 1:12am
v7
Oct 5, 2022
2022-10-06 1:11am
v6
Oct 5, 2022
2022-10-06 1:11am
v5
Oct 5, 2022
2022-10-06 1:11am
v4
Oct 5, 2022
2022-10-06 1:11am
v3
Oct 5, 2022
2022-10-06 1:11am
v2
Oct 5, 2022
2022-10-06 1:11am
v1
Oct 5, 2022
v12
2022-10-06 1:13am
Generated on Oct 5, 2022
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
Choose another format.
18 Total Images
View All Images
Dataset Split
Train Set 100%
18Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
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