Detection de maladies des plante Image Dataset
v3
2022-04-18 5:49am
Generated on Apr 18, 2022
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YOLOv8
TXT annotations and YAML config used with YOLOv8.
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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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352 Total Images
View All Images
Dataset Split
Train Set 70%
248Images
Valid Set 18%
64Images
Test Set 11%
40Images
Preprocessing
Auto-Orient: Applied
Static Crop: 20-75% Horizontal Region, 19-76% Vertical Region
Resize: Stretch to 416x500
Augmentations
Outputs per training example: 3
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
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