YOLO Reviews and Details
This page is designed to help you find out whether YOLO is good and if it is the right choice for you.
Screenshots and images
-
Landing page //
2019-10-07
Features & Specs
-
Speed
YOLO (You Only Look Once) is extremely fast because it processes images in real-time. It achieves significantly quicker inference times compared to other object detection models by treating detection as a single regression problem.
-
Simplicity
YOLO's architecture is simpler and easier to understand as it does not require a pipeline for region proposal. The end-to-end approach makes it straightforward to implement and modify for custom applications.
-
Unified Model
YOLO uses a single convolutional neural network (CNN) to predict the bounding boxes and class probabilities directly from full images in one evaluation, which simplifies the training and deployment process.
-
Versatility
YOLO can be easily adapted to run on a variety of hardware platforms, including GPUs and even some high-performance CPUs, making it suitable for both edge and cloud deployment scenarios.
Videos
Yolo App Whats Parents need to know about this popular Teen App
YOLO - A Look into Michael Cusackโs Mind of Bizarre but Wonderful Animation Comedy
Is YOLO Safe? Check Out Our App Review!
Is YOLO good?
Yes, YOLO is considered to be good. It is well-regarded in the computer vision field for its balance of speed and accuracy, making it suitable for applications where real-time detection is required.
Why choose YOLO?
- YOLO (You Only Look Once) is a popular real-time object detection system designed to be both fast and accurate. It is widely used because of its ability to efficiently detect objects in images and videos in a single run through the network. This efficiency is achieved by predicting bounding boxes and class probabilities directly from full images in one evaluation, making it significantly quicker than previous region proposal-based systems. Its developer-friendly implementation with pretrained models makes it accessible for both academia and industry.
Recommended for
- YOLO is recommended for developers and researchers needing a robust object detection system that performs well in real-time applications. It is particularly beneficial for projects involving video analysis, autonomous vehicles, security systems, and any application requiring rapid object recognition and localization.
External links
We have collected here some useful links to help you find out if YOLO is good.
-
Check the traffic stats of YOLO on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
-
Check the "Domain Rating" of YOLO on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of YOLO's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
-
Check the "Domain Authority" of YOLO on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
-
The latest comments about YOLO on Reddit. This can help you find out how popualr the product is and what people think about it.
Social recommendations and mentions
-
Footage Shows Cop Stalking Woman After Surveilling Her with a LPR
I think it's intresting to read about the guy who made yolo, take a look at his website and later, his thoughts about the monster he may have created. https://medium.com/@graham.wallington/the-evolution-of-yolo-joseph-redmons-departure-and-the-ethics-of-computer-vision-66d9b75f0eca https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 13 days ago
-
Why DETRs are replacing YOLOs for real-time object detection
> The YOLO series is developed and maintained by Ultralytics. All YOLO code and weights are released under the AGPL-3.0 license.The YOLO series is developed and maintained by Ultralytics. All YOLO code and weights are released under the AGPL-3.0 license. The original author of YOLO and the Darknet framework [1] issued the code under pretty much every license you wish to use [2]. My preferred fork by AlexeyAB is... - Source: Hacker News / 8 months ago
-
Building a Real-Time Object Detection Application with YOLO
For YOLO, you may need to download the pre-trained weights and configuration files. You can find YOLOv3 weights and config on the official YOLO website. - Source: dev.to / over 1 year ago
-
Where Is OpenCV 5?
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / over 2 years ago
-
Is This Really True?Is It Still Worth it?
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: almost 4 years ago
-
I Created a person alarm with ESP32-CAM
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: almost 4 years ago
-
Conv2D when used with colour images
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: about 4 years ago
-
How do I make an image classification program?
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: over 4 years ago
-
Creating, seeding, and starting a new recipe on the labor-free farm (New menu, metal substrate, + more)
If you have a spare raspberry 4 and a camera, just install python and goto https://pjreddie.com/darknet/yolo/ for find out how to implement object recognition. Source: over 4 years ago
-
Crossfit datasets
The pose estimator sounds cool. There are definitely object detection libraries that can track limbs & joints. Check here: https://github.com/SravB/Computer-Vision-Weightlifting-Coach Also check out this OS library that most commercial companies copy and change the colors: https://pjreddie.com/darknet/yolo/. Source: almost 5 years ago
-
accidentally trained on ghost dataset
YOLO (you only look once) now sounds creepier after seeing this. Source: about 5 years ago
-
10 Deep Learning Projects (Beginner & Advanced)
This is indeed a very advanced task, and you could try to recreate the popular YOLO object detection model from scratch, but I recommend to just use a pertained model. - Source: dev.to / about 5 years ago
-
original paper of yolov3-tiny
Yeah it's easy to get confused when reading papers. Check here: https://pjreddie.com/darknet/yolo/. Its pretty clear that all you need to get the tiny model are different weights and a config file. Source: about 5 years ago
-
Details scant in neo-Naziโs gunshot death - Knox TN Today
The most interesting thing to me is the photo. The bounding boxes around his face and the gun are typical of cutting edge object detection algorithms like YOLO (not joking). I'm wondering if this photo came from the FBI, TBI, or other law enforcement agency. Source: over 5 years ago
-
Machine Learning Workshop tonight 8-9pm hosted by Underwater Robotics!
For our last event of ArchE Week, the Ohio State Underwater Robotics Team (Website, Instagram) is hosting a workshop tonight on machine learning! The workshop is an interactive walkthrough of using machine learning solutions to make predictions. Some example problems we could be trying to solve are predicting a grade, predicting the weather, and the classic recognize a digit problem. Our team personally uses... Source: over 5 years ago
-
๐ฆZombie Detecting Smart Security Owl (Deep Learning)
b. We had a look at some of the pre-trained models out there, like YOLOv3 which looks super cool. YOLOv3 tiny weights, which would have been perfect for the Pi, but we couldnโt get it running :(. - Source: dev.to / over 5 years ago
-
Is it possible to track objects on the go?
DeepSORT is one of the best trackers https://github.com/nwojke/deep_sortIt requires an object detector tho, like YOLO https://pjreddie.com/darknet/yolo/. Source: over 5 years ago
Do you know an article comparing YOLO to other products?
Suggest a link to a post with product alternatives.
YOLO discussion
Is YOLO good? This is an informative page that will help you find out. Moreover, you can review and discuss YOLO here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.