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This release is a major update to the https://github.com/ultralytics/yolov3 repository that brings forward-compatibility with YOLOv5, and incorporates numerous bug fixes, feature additions and performance improvements from https://github.com/ultralytics/yolov5 to this repo. See more
- 1. Multi GPU support is now working correctly #21.
- 2. test.py now natively outputs the same results as pycocotool… See more
- 1. Dataloader is now multithread. #141
- 2. mAP improved by smarter NMS. mAP now exceeds darknet … See more
- 1. mAP computation is much slower now than before using default settings, as --c…
- 2. Training speed is improved substantially compared to v3.0 du… See more
YOLOv4 - Ultralytics YOLO Docs
WEBNov 12, 2023 · YOLOv4 is designed for optimal speed and accuracy in object detection. The architecture of YOLOv4 includes CSPDarknet53 as the backbone, PANet as the neck, …
WEBJan 31, 2024 · YOLO-World is the next-generation YOLO detector, with a strong open-vocabulary detection capability and grounding ability. YOLO-World presents a prompt …
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WEBJune 1, 2020. ABSTRACT. instance segmentation called Poly-YOLO. Poly-YOLO builds on the original ideas of YOLOv3 and removes two of its weaknesses: a large amount of …
YOLOv3 - Ultralytics YOLO Docs
WEBNov 12, 2023 · This document presents an overview of three closely related object detection models, namely YOLOv3, YOLOv3-Ultralytics, and YOLOv3u. YOLOv3: This is the third …
YOLOv5 | PyTorch
WEBYOLOv5 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection, instance segmentation and image classification tasks. …
Home - Ultralytics YOLO Docs
WEBNov 12, 2023 · YOLO (You Only Look Once), a popular object detection and image segmentation model, was developed by Joseph Redmon and Ali Farhadi at the …
kiyoshiiriemon/yolov4_darknet: YOLOv4 - GitHub
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YOLO v8 Model Guide - Real-Time Object Detection Model …
WEBYOLOv8 is the latest iteration of the YOLO (You Only Look Once) algorithm, renowned for its object detection capabilities. It was launched on January 10th, 2023, by Ultralytics, …
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Introduction to the YOLO Family - PyImageSearch
WEBApr 4, 2022 · YOLO (You Only Look Once) is a single-stage object detector introduced to achieve both goals (i.e., speed and accuracy). And today, we will give an introduction to …
yolobit · GitHub Topics · GitHub
WEBA IoT Smart Home project. nodejs iot mongodb socket-io reactna yolobit. Updated on May 9, 2023. Python. Improve this page. Add a description, image, and links to the yolobit …
YOLO object detection with OpenCV - PyImageSearch
WEBNov 12, 2018 · Bring data in any of 40+ formats to Roboflow, train using any state-of-the-art model architectures, deploy across multiple platforms (API, NVIDIA, browser, iOS, etc), …
Models Supported by Ultralytics - Ultralytics YOLO Docs
WEBNov 12, 2023 · We offer support for a wide range of models, each tailored to specific tasks like object detection, instance segmentation, image classification, pose estimation, and …
ultralytics/ultralytics: NEW - YOLOv8 in PyTorch - GitHub
WEBYOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image …
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GitHub - zhiqwang/yolort: yolort is a runtime stack for yolov5 on ...
WEBWhat 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. …
GitHub - avanetten/yoltv4: Better, faster, peering over yonder ...
WEBYOLTv4 is designed to detect objects in aerial or satellite imagery in arbitrarily large images that far exceed the ~600×600 pixel size typically ingested by deep learning object …
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