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Documentation for Yolo usage in Opencv #24898 This PR introduces documentation for the usage of yolo detection model family in open CV. This is not to be merge before #24691, as the sample will need to be changed. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake |
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| .. | ||
| dnn_android | ||
| dnn_custom_layers | ||
| dnn_face | ||
| dnn_googlenet | ||
| dnn_halide | ||
| dnn_halide_scheduling | ||
| dnn_javascript | ||
| dnn_OCR | ||
| dnn_openvino | ||
| dnn_pytorch_tf_classification | ||
| dnn_pytorch_tf_detection | ||
| dnn_pytorch_tf_segmentation | ||
| dnn_text_spotting | ||
| dnn_yolo | ||
| images | ||
| table_of_content_dnn.markdown | ||