Speed Estimation using Ultralytics YOLOv8 | Episode 31

Unlock the power of speed estimation with Ultralytics YOLOv8! 🚀 In this episode, we delve into the world of computer vision to estimate the speed of vehicles using the state-of-the-art YOLOv8 model. Join us to discover how to implement this cutting-edge technology in your projects, from setting up the code to running real-time inference.

📊 Key Highlights:
0:00 - Introduction to Speed Estimation with Ultralytics YOLOv8
0:20 - Explore Ultralytics YOLOv8 Documentation
1:56 - Advantages of Speed Estimation
2:24 - Real-world Applications of Speed Estimation
2:27 - Dive into Speed Estimation Code Snippets
3:06 - Key Arguments for Speed Estimation Configuration
3:13 - Object Tracking Arguments
3:17 - Step-by-step Python Code Walkthrough for Implementation
4:20 - Video Files overview for Inference
4:56 - Witness Speed Estimation Inference in a Demo Showcase
7:08 - Comprehensive Summary of Speed Estimation using YOLOv8

In this video, you'll learn how to accurately measure the speed of objects in video frames with the help of pre-trained YOLOv8 models. We walk you through the entire process, from code setup to practical demonstrations, highlighting the precision and efficiency of YOLOv8 in real-world applications like traffic control and autonomous navigation.

Ready to harness the potential of speed estimation? Watch the demo and follow our step-by-step guide to integrate this AI technology into your projects. Don't forget to explore our comprehensive documentation and guides for additional insights and advanced configurations.

👉 Dive deeper with our detailed guides:

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#YOLOv8 #Ultralytics #SpeedEstimation #ComputerVision #AI #MachineLearning #DeepLearning

[LunaStargazer-vs]

Magicians of code! A thrilling episode! I can't help but wonder, in scenarios with low-light conditions or erratic object movements, how does YOLOv8 handle speed estimation intricacies? Is there a threshold where estimation accuracy drops ever so slightly into the realm of the whimsical?

[AxelRyder-qb]

Yo, this speed estimate gig with YOLOv8 sounds epic!! 🚀 But how does it handle objects overlapping in a live stream when calculating speed? Could that mess with accuracy or is there a slick way u guys tackle this?? 🤔 Let’s dive into the nitty-gritty!

[Smitthy-kd]

Awesome breakdown of the speed estimation using YOLOv8! Quick question: how does it handle overlapping objects? Would it still give accurate speed readings or go bonkers like my GPS in a tunnel? Also, any tips for optimizing this in low light conditions?

[sleepybunny]

I have done a program thet perform an anpr on a footage previously (along with storing all of thr car bbox, id and plate number to a file). Is there any way i can integrate my existing anpr rogram with this yolov8 speed estimation

[Meloia]

Vocês acham que o YOLOv8 pode ser ajustado para detectar sneaky speedsters nas race tracks real-time? I'm all ears for advanced tweaks or models for extreme sports! 🎸

[evanrsl]

Nice video! i have a few questions:
1. What if i only want to detect object in certain ROI
2. What if i only want to detect a certain object class (ex: person)

[AlexChen-fy]

Mad respect for integrating speed estimation with YOLOv8, but how does occlusion handling work in dense environments? I'm curious if you fine-tuned any particular hyperparameters for those tight-packed urban scenarios, or if a separate tracking model is required. `#MLmightyMouse` `#autobotsRollOut`

[RoyMathew-hg]

Great. How can do speed estimation with in and out counting using Ultralytics. Can you provide the code please.

[dusan]

I recorded a video from one of the traffic cameras that are available in the US on a freeway. For some reason the estimates are pretty off. Is this because the model in the video is trained on non US based facility or because the video has to have a specific angle? The one I have is over a straight segment 6 lane facility (3 lanes north and 3 lanes southbound). Thank you very much

[mohsinirshad]

when i run the code given on your page using the same demo video, the video playing speed goes down resulting in very low speed estimation like 2-3 KM/Hr

[abdullahhabib]

Hey!
I'm trying to get the snippets of cars that cross a certain speed, how do i do that?
(I tried a few resources but all in vain, i'm getting overwhelmed and any help is appreciated)
Thank you so much for helping.

[dalinsixtus]

i need to add a SAM block in the neck of the yolov8 architecture, do i need to change the yolov8.yaml file containing the architecture path ? How to add the new block to the existing architecture?

[natnaelberhanu]

It was Help full video Mr . when i run the code i get error which says No module found error for solution and track why is that happening i have already installed ultralytics

[m]

Does YOLOv8's speed estimation work well for unpredictable objects like animals or drones, or does it mainly excel with more predictable entities like cars and pedestrians?

[sanketpatil]

hello, I Have done Vehicle Detection For the UAV Drone Dataset using Yolov8.I have 7 classes of Vehicles, and I want to Estimate the speed of each individual vehicle can you help me to get it .where I can contact you for discussing this

[ayman_sed_]

Thank you for this video. I have a question, It works good but how can I get a accurate speed estimation ?

[ayman_sed_]

can I know the exact formulate used to calculate the speed ?

[under.rate_d]

How do I make it show both the speed and the object detection classes or names on the screen

[sleepybunny]

How do i extract the detected speed annotation and id & save them to csv or text file

[inspirewithfact]

Please do the next video on deploying the custom model in andriod mobile. Thanks