Detecting diseases Image Dataset
v5
2022-10-18 7:04pm
Generated on Oct 19, 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.
5493 Total Images
View All Images
Dataset Split
Train Set 53%
2904Images
Valid Set 26%
1416Images
Test Set 21%
1173Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 12 remapped, 1 dropped
Augmentations
No augmentations were applied.
Similar Projects
Detecting-diseases-Image-Dataset
5465 images
yolov7
4681 images
bch
5420 images
agriculture-
5493 images
plant
5480 images