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 ...
Annotation formatImportExport CVAT for images✔️✔️ CVAT for a video✔️✔️ Datumaro✔️✔️ PASCAL VOC✔️✔️ Segmentation masks fromPASCAL VOC✔️✔️ YOLO✔️✔️ MS COCO Object Detection✔️✔️ ...
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...
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 ...
[arXiv] Complex-YOLO: Real-time 3D Object Detection on Point Clouds. [pytorch] [det. aut.] 🔥 [arxiv] RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement. [tensorflow] [det. aut.] [arXiv] Multi-column Point-CNN for Sketch Segmentation. [seg.] [arXiv] Poi...
Song, Y.; He, B. Real-Time Object Detection for AUVs Using Self-Cascaded Convolutional Neural Networks.IEEE J. Ocean. Eng.2021,46, 56–67. [Google Scholar] [CrossRef] Wang, C.-Y.; Bochkovskiy, A. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object...
Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4. Multimed. Tools Appl. 2022, 81, 1–25. [Google Scholar] [CrossRef] Zou, Y.; Ding, L.; Zhang, H.; Zhu, T.; Wu, L. Vehicle Acceleration Prediction Based on Machine Learning Models and Driving...
YOLO is a representative single-stage model that eliminates the explicit bounding box extraction process by resizing the image to a fixed size, dividing it into a 7 × 7 grid, predicting 2 bounding boxes per grid, and performing classification and localization for each bounding box. Despite its...
pytorch3d: PyTorch3D is FAIR's library of reusable components for deep learning with 3D data pytorch3d.org MMDetection: MMDetection is an open source object detection toolbox, a part of the open-mmlab project developed byMultimedia Laboratory, CUHK. ...
Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the field. A comprehensive thematic survey ...