The aeroplane in the middle of the street though Hahahahahha

wish the confidence text was readable for v7

In fact, it would be better if the results were shared graphically. Visually, yolov7 seems to be better than the others.

@scifiominous3847

7 ай бұрын

Better doesn't mean good latency, every new model is better, faster and energy efficient from the previous one.

@PhilippBlum

5 ай бұрын

Depends on the model you trained as well. If you train a more narrow model, you tend to get better results overall.

hi i am doing pothole detection porject what might be better to use yolo v5 or v7

Why are the boxes around the objects detected with the YOLOv7 model of a different format than other models? Or is it a display that is not difficult to change?

@iChunkGamePlaysYT

2 ай бұрын

Its an option, you can define the thickness of whatever model

Hi! Very nice work! Congrats!

@pamudu123ranasinghe7

2 ай бұрын

thanks

Doing a same research for blind spot detection for vehicle using yolo

@pamudu123ranasinghe7

Ай бұрын

huggingface.co/spaces/Pamudu/YOLO-Battlefield Try this on huggingface spaces. You can compare your desired YOLO model with other YOLO models to get an idea about real-time performance and detection accuracy.

could you please share your code?

So weird that it seems yolov7 is the best choice.

@nottoday2131

Жыл бұрын

I think if you can put up a detection fps then it will be better to point out the advantage of yolov8

@ForTheOmnissiah

Жыл бұрын

@@andrespereira4852 YoloV8 is a huge leap. From a developer's standpoint it's significantly easier to train and deploy... well, besides some of the deployment/export functionality to other frameworks is still in the works. But having a CLI to interact with YOLO is sublime. It's the first one to have it.

@ranggayogiswara5148

Жыл бұрын

@@ForTheOmnissiah i don't know, but as a beginner to object detection things, it feel weird to interact with CLI

@ceebee

Жыл бұрын

Not really. The architectures are different. Yolov7 was built by the original devs (AlexeyAB and WongKinYiu) that did v4 and its derivatives. pjreddie (who originally developed the darknet framework) publicly said that Yolov4 is the defacto successor. Ultralytics (yolov5 & yolov8) uses a different framework written in Python. Darknet is written in C++.

@alfredcam5213

11 ай бұрын

Yolov8 is much faster than v7 in the last shot of the moving cars. v7 completely fails that task.

The bridge is an airplane with 61% confidence 😂

am i wrong, or v5 is detecting more objects than v8?

@Nauntilus

Жыл бұрын

Was wondering the same thing

@pamudu123ranasinghe7

Жыл бұрын

It seems that YOLOv5 detects more objects with greater accuracy than YOLOv8. However, YOLOv8 runs faster than YOLOv5. I will do a complete analysis of this.

@tektronix475

Жыл бұрын

@@pamudu123ranasinghe7 thanks!

@rgvn8406

Жыл бұрын

@@pamudu123ranasinghe7 after the your analysis please share your opinion, I will have been waiting for that :)

@andrespereira4852

Жыл бұрын

It seems that YOLOv7 is better than those two. Just look how steady and accurate are its bounding boxes from 0:25 to the end of the video. And why are its boxes painted with so tiny borders?🤨 It looks like Ultralytics is like the old chinese version of products, "look, look, is better and fast, dont worry about if it doesn't have a paper, just buy it, please, take it"

Yolo v8 can be used for classification tasks?

@pamudu123ranasinghe7

10 ай бұрын

Yes you can use YOLOv8 for classification. Refer this: roboflow.com/model/yolov8-classification

Is it possible to integrate it in flutter app?

@pamudu123ranasinghe7

Жыл бұрын

Try "Ultralytics HUB" app at appstore.They run YOLO models real time on phone. I am not sure yolo models can run locally on the phone. But you can host your model on a cloud platform and call it in through your flutter application.

Deep learning-based real-world object detection and improved anomaly detection for surveillance videos Sir plz guide de this is my final year project how i start 😢

@pamudu123ranasinghe7

14 күн бұрын

What kind of anomalies are you planning to detect? If you use already trained YOLO models, they can only detect the 80 classes in the COCO dataset. tech.amikelive.com/node-718/what-object-categories-labels-are-in-coco-dataset/ If you need more clarification, please send more details about your project to my email.

@Gaming-withnolimits

14 күн бұрын

@@pamudu123ranasinghe7 sir we are beginners we have no idea plz guide us , tell me some steps that we start! Thanks for replying sir ❤️

Hey i have a project on license plate recognition, can u send me the repo link for that

@pamudu123ranasinghe7

Жыл бұрын

You can use the following link to train a YOLOv8 model on a custom dataset: github.com/roboflow/notebooks/blob/main/notebooks/train-yolov8-object-detection-on-custom-dataset.ipynb universe.roboflow.com/wei-lun-wong-rlpuz/car-plate-detection-pnq5k You can use this dataset or another dataset from Roboflow Universe to train this. The dataset in this link only includes predefined classes, which may not cover all possible variations of license plates. For example, license plates can contain different numbers and letters, such as Roman numerals or characters from languages other than English. An alternative approach would be to train an object detector to identify the region of a license plate. After that, you can use an OCR method (easyOCR would be a good choice) to extract the characters from the license plate. This method will give more precise results.

@TragicGFuel

14 күн бұрын

Always an indian student that wants to copy code for college

Can you share the video clips?

@pamudu123ranasinghe7

Жыл бұрын

drive.google.com/drive/folders/1XuLxUudlMVMnsUDR-kK9r_YXooT9yMGL?usp=sharing

you should tell what size model you used

@pamudu123ranasinghe7

Жыл бұрын

YOLO medium models of each version is used for comparison

Can u tell me whose model is best choice for CPU?

@pamudu123ranasinghe7

Жыл бұрын

Out of these models, YOLOv8 performs better on a CPU. It has a higher FPS rate, high detection accuracy and easy to use. However, there is a new addition to the family called YOLO-NAS performs even better. It has a much higher FPS rate and maintains good accuracy. I have added a comparison video on YOLOv8 and Yolo-Nas.Check it aslo kzread.info/dash/bejne/a2WklLWkg9jAm8Y.html&ab_channel=Pamudu123Ranasinghe

@mohsanyaseen8048

Жыл бұрын

@@pamudu123ranasinghe7 thanks bro

@pamudu123ranasinghe7

Ай бұрын

huggingface.co/spaces/Pamudu/YOLO-Battlefield Try this on huggingface spaces. You can compare your desired YOLO model with other YOLO models to get an idea about real-time performance and detection accuracy.

Which model puts less load on cpu

@pamudu123ranasinghe7

8 ай бұрын

In my experience, YOLOv8 is better. If you find it running slowly, you can speed it up by quantizing the model or converting it to a CPU-optimized version. Another option is to try the YOLOv8 nano model and reduce the input image size for faster inference. Check out the Ultralytics documentation for easy guidance.

Can someone tell me that which version is best for window 7? Fastest

@pamudu123ranasinghe7

2 ай бұрын

YOLOv8 is fast and easy to use in Windows 7 Refer to this for more optimization techniques for achieving a higher speed. github.com/pamudu123/object-detection-optimization

@i_sarmad69

2 ай бұрын

@@pamudu123ranasinghe7 thank u so much sir

which one is fastest?

@pamudu123ranasinghe7

2 ай бұрын

YOLOv8 Refer to this for more optimization techniques for achieving a higher speed. github.com/pamudu123/object-detection-optimization

Hello, can I use this video?

@pamudu123ranasinghe7

Жыл бұрын

Yes sure, No problem at all

Can you undertake object detection project for our company? We need to identify objects as small as bolts and nuts (of abt 3 cm) using a CCTV camera mounted at about 300 to 400 m away. If yes, how do we contact you?

@pamudu123ranasinghe7

9 ай бұрын

yes sure, you can contact me via pamudu1111@gmail.com

hlo can we connect?

@pamudu123ranasinghe7

9 ай бұрын

yes sure, pamudu1111@gmail.com

Please write fps on video

@pamudu123ranasinghe7

Ай бұрын

huggingface.co/spaces/Pamudu/YOLO-Battlefield Try this on huggingface spaces. You can compare your desired YOLO model with other YOLO models to get an idea about real-time performance and detection accuracy.

is yolov8 is a downgrade ?

@andrespereira4852

Жыл бұрын

Kind of 😄. Altought its library ultralytics are one of the best for developers out there

@ForTheOmnissiah

Жыл бұрын

It runs significantly faster than previous models. By quite a bit. That's a huge plus for many applications. In fact, most video-input applications require speed over accuracy.

@pamudu123ranasinghe7

Ай бұрын

huggingface.co/spaces/Pamudu/YOLO-Battlefield Try this on huggingface spaces. You can compare your desired YOLO model with other YOLO models to get an idea about real-time performance and detection accuracy.

Yolo V5 is better

v7 is best

@RandomGuy-df1oy

Жыл бұрын

Its the worst imo. Every time I train a yolov7 model, its a disappointment.

@pamudu123ranasinghe7

Жыл бұрын

@@RandomGuy-df1oy I have used YOLOR model It gives me better results than YOLOv7

@RandomGuy-df1oy

Жыл бұрын

@@pamudu123ranasinghe7 What about YOLOv8? Currently, I still use v5 despite the new v6 and v7. I'm gonna try YOLOR too, thanks

@RandomGuy-df1oy

Жыл бұрын

@@pamudu123ranasinghe7 What about YOLOv8? I still use v5 despite the appearance of v6 and v7. I'm gonna try YOLOR too, thanks.

@andrespereira4852

Жыл бұрын

@@RandomGuy-df1oy But how about those custom datasets of yours? Are they good enough to get good accuracy?🤔🤨