Dry and Wet Image Dataset
v3
Data augmentation
Generated on Aug 23, 2021
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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624 Total Images
View All Images
Dataset Split
Train Set 92%
576Images
Valid Set %
0Images
Test Set 8%
48Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Grayscale: Apply to 50% of images
Blur: Up to 7.5px
Noise: Up to 5% of pixels
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