China Dataset

In recent years, some deep learning-based object detection algorithms have also made significant progress. Among them, the most famous are Faster R-CNN and YOLO You Only Look Once algorithms. Faster R-CNN is an object detection algorithm based on region extraction. It uses RPN Region Proposal Network to generate candidate boxes for the object, and uses CNN to extract the feature vector of each candidate box, and finally uses a classifier to determine the category of each candidate box. The YOLO algorithm is a single-stage object detection algorithm that converts the object detection problem into a regression problem and predicts the location and category of the object at the same time.

Deep learning algorithms have also made significant progress lithuania mobile database in image segmentation tasks. The most famous one is the FCN Fully Convolutional Network algorithm. The FCN algorithm converts the image segmentation problem into a pixel-level classification problem, using CNN to classify the entire image at the pixel level and generate a segmented image of the same size. By post-processing the segmented image, the final image segmentation result can be obtained.

In addition to the above algorithms, there are many other deep learning algorithms that are applied to fields such as target detection and image segmentation, such as Mask R-CNN, U-Net, SegNet, etc. The application of these algorithms has brought great impetus to the development of computer vision and also provided strong support for the development of related industries.