wait_for_deps.sh Drop years from license headers associated to CVAT.ai Corporation (#8968) 4个月前 yarn.lock Bump http-proxy-middleware from 2.0.7 to 2.0.9 (#9340) 21天前 README MIT Computer Vision Annotation Tool (CVAT) CVAT is an interactive video and image annotation tool for compute...
The improvements made to the YOLOv8 architecture, through the introduction of LSKA and CA, enhance its overall performance for traffic monitoring applications, making it a powerful tool for real-time road safety applications. The component-level architecture of LC-YOLOv8 and its elements are ...
We choose the second semiautomatic annotation method for data labelling. Initially, approximately 20% of the samples within the complete dataset are manually annotated. Subsequently, we employ the YOLOX model for training purposes, utilizing the annotated samples to generate a new model. In the next...
LabelImg [19] is an image annotation tool that is written in Python and uses the Qt framework as a graphical user interface. It can load a bulk of images but only supports bounding box annotations and saves it as a XML file in VOC or YOLO format. The functionalities are minimal but suff...
Use the Labelimg annotation tool to label the areas of tomato red fruit and green fruit, and get the YOLO data set. Of the 4680 image samples, 1000 were randomly selected as the test sample set and the remaining 3680 as the training sample set. The data annotation process is shown in ...
It also supports the PASCAL VOC XML format and exports the annotations to different formats (e.g., YOLO or COCO JSON). Next, Labelbox, a commercial training data platform for machine learning, was introduced. Among other things, it offers an annotation tool for images, videos, texts, or ...
The second strategy utilized YOLOv5 to identify the three vessels within the full-size image. From the predicted candidate boxes for each class, the one with the highest confidence was selected as the final output. This process yielded three candidate boxes, each containing one of the three ...
With the help of sophisticated transfer learning and hyperparameter tuning, HTENet outperforms benchmark models like YOLOv5, ResNet50 and VGG16 in terms of efficiency and precision. Keywords: maize disease detection; deep learning; hyper-tuned EfficientNet; HTENet; convolutional neural networks; CNN...
Therefore, we annotate human heads and generate ground truth for all video sequences of the BOSS dataset. For annotations, we use the VIPER-GT [45] publicly available annotation tool and mark the position of each person by drawing a bounding box around the head. It is to be noted that ...
The original YOLOv7-tiny architecture includes three detection output heads, and the corresponding maximum feature map size is one-eighth of that of the original input image. For instance, considering 640 input images, the largest feature map size would be 8080, which corresponds to the mapping ...