HOLES-DETECTOR Image Dataset
Versions
holes-flip-augmentation-1920x1088
v18
Mar 21, 2023
holes-flip-augmentation-960x544
v17
Mar 21, 2023
holes-rotation-augmentation-1920x1088
v13
Mar 21, 2023
holes-no-augmentation-1920x1088
v12
Mar 19, 2023
holes-78-20-2-1920x1088
v11
Mar 18, 2023
holes-78-20-2-480x272
v10
Mar 18, 2023
holes-78-20-2-960x544
v9
Mar 18, 2023
holes-85-13-2-960x544
v8
Mar 18, 2023
v8
holes-85-13-2-960x544
Generated on Mar 18, 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
Choose another format.
6442 Total Images
View All Images
Dataset Split
Train Set 85%
5445Images
Valid Set 13%
863Images
Test Set 2%
134Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 960x544
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%
Bounding Box: Rotation: Between -2° and +2°
Bounding Box: Brightness: Between -1% and +1%
Bounding Box: Exposure: Between -1% and +1%
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