Train YOLO V8 on Custom Dataset for Object Detection | Licence Plate Detection Model Training
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- Опубликовано: 28 сен 2024
- Learn how to train a custom license plate detection model using YOLOv8 in Google Colab! 🚗🔍 We'll guide you through the entire process, from dataset preparation to model training and deployment.
Here's what you can expect:
📋 Dataset Preparation: Collect custom license plate dataset.
🤖 Model Configuration: Set up YOLOv8, select a pre-trained model, and configure hyperparameters.
🚀 Google Colab Setup: Learn how to use Google Colab for efficient and powerful model training.
🔧 Training: Train your custom YOLOv8 model on Google Colab's GPU infrastructure.
🎥 Inference: Deploy your trained model for real-world license plate detection.
Github Repo: github.com/Ari...
Dataset URL: universe.robof...
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You are truly my life saver!
Hi... Thanks for the video, how can we download and deploy this model into Raspberry pi
hi Arjit, can you please make the video for FastAPI with this model. we need it.
bro can u pls make a vedio how can we use ocr on this same code to get the text from the licence plate
When i start to train a model I got following error
ValueError: operands could not be broadcast together with shapes (4,) (38,)
all information a in seperte video .............................. if we need to watch your video minimum 20 video we need to watch
how can use it in python file please update once
your work so much wonderfull
ee sala cup namde RCB❤
Hiii guys....
I working on a college project I am having an error in my code, could anyone contact me and help me resolve the issue I am facing?
Sir can u plz tell me the alternative ide to run this code where gpu is supported
Sir please reply of this message !!!!
How can i can the API key?
Thanks Arjit for the wonderful and informative tutorial. Also for the good supporting materials. Just wanted to know, if we can use tensorboard to actually visualize the training in-progress and its status?
thank you can you give me a code for detect fire in real time
if we are having a powerful machine so where we can write this code
Kaggle is a very good environment to run notebooks
i tried with another dataset from roboflow following all other steps it did not still work, i wonder if there is a reason to that: IndexError: boolean index did not match indexed array along dimension 0; dimension is 1 but corresponding boolean dimension is 5. Any body else ?
Facing Error From Firebase: Firebase: Cloud function deadline exceeded. (auth/internal-error).
Now this is done but i also want to extract the number that is on that number plate, What i need to do for that...? Please guide me for this...
Thanks sir for the video. Sir i had a problem uploading afile on the google colab notebook... it's showing some error..
If you could please help me with that.
Thank you very much my friend, there are many videos on RUclips about this topic but you have made it very easy to understand.
sir hemodel you have gien is giving the output video with the box drawn around number plate , but sir if i want to make to store those numbers iin a list to make their use what additin we need to do and where i need to do correction
Thank you sensei! This is the best and simplest machine learning video so far I have seen on youtube. May the success and peace be with you along the journey!
really got help from ur video . This specific video basically solved my problem/confusion and boosted my confidence . At last , i would say it has provided me a CV engg. role placement
Thank you very much. Saved lot of time
if I want to use camera insted of image or video
How can we switch on live feed??
Hello Arijit, while training this model on some other dataset e.g on german license plate, I got error of dimensions or hydra value error, can you point out what could be the reason. Your help would be much appreciated.
Hello, i think that error may occured due to the model path.Kindly check from where you took the 'best.pt'
I had the same problem, my solution was that I needed to switch to another dataset
How to calculate accuracy for this?
Congrats ! Nice video !!!!
🔥🔥