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As was stated before, one of the features of Poly-YOLO is an object detection with the ability to estimate a polygon tightly wrapping around the object. For that … See more
Here, we present the impact of hyperparameter setting on Poly-YOLO performance, discuss additional improvements and current limitations. See more
As we mentioned in Section 1, the practical application where quick instance segmentation may be helpful is the implementation of an intelligent car headlamp, … See more
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2004 Ukrainian child pornography raids - Wikipedia
Operating predominantly in Kyiv with branches in cities like Kharkiv and Simferopol, the agency, named "Alex Model" (Ukrainian: Алекс-Модел), was identified as one of the major producers and distributors of child pornographic content, which was branded under several names throughout the world using the "LS" abbreviation as LS-Models, LS-Magazine, LS-Girls, LS-Studio, LS-Island, LS-Land, LS-Dreams, and LSMODELCLUB (LS Model Club). The leaders attracted minors wit…
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GitHub - ultralytics/ultralytics: NEW - YOLOv8 in PyTorch > …
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost …
Implement YOLOv4 Object Detection on your Webcam from …
About. Implement YOLOv4 Object Detection on your Webcam from within Google Colab! This tutorial uses scaled-YOLOv4, the most fast and accurate object detection system there …
Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection …
Mar 27, 2020 · 2.1.1. Deep Residual Network (ResNet), DenseNet, and Dual-Path Network (DPN) ResNet was proposed by He et al. [], who applied the concept of residual representation, …
GitHub - avanetten/yoltv4: Better, faster, peering over yonder ...
YOLTv4 builds upon YOLT and SIMRDWN, and updates these frameworks to use the most performant version of YOLO, YOLOv4.YOLTv4 is designed to detect objects in aerial or …
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Improved YOLOv4-tiny network for real-time electronic …
Nov 23, 2021 · In the electronics industry environment, rapid recognition of objects to be grasped from digital images is essential for visual guidance of intelligent robots. However, electronic …
What is YOLO? The Ultimate Guide [2024] - Roboflow Blog
Jul 17, 2024 · YOLO (You Only Look Once) is a family of computer vision models that has gained significant fanfare since Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi …
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Improved YOLOv4-tiny network for real-time electronic …
Nov 23, 2021 · Related work. Traditional target detection methods use manual annotation of features and build shallow detectors. Early target detection methods originated from face …
SS-YOLO: An Object Detection Algorithm based on YOLOv3 and …
Supported by the improvement in the computing power of devices and increasing amount of data is being produced by digital society, the object detection framework based on deep learning …
ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub
YOLOv5 🚀 is the world's most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over …
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GitHub - zhiqwang/yolort: yolort is a runtime stack for yolov5 on ...
What it is. Yet another implementation of Ultralytics's YOLOv5. yolort aims to make the training and inference of the object detection task integrate more seamlessly together. yolort now …
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