Mastering YOLO V8: Object Detection and Hugging Face Deployment
ฝัง
- เผยแพร่เมื่อ 26 ก.ค. 2024
- In this tutorial, you'll learn how to create a custom object detection model using YOLOv8 and Ultralytics Plus. And that's not all - we'll also deploying it on Hugging Face Space. Get ready to build, train, and share your own object detection solution with the world!
00:00 Intro
01:09 Installing tools
02:44 Setup env
04:34 Collect dataset
08:11 Annotate images
13:57 Setup Yolo v8
18:48 Train the model
22:41 Evaluate & Test
29:01 Prepare for deployment
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📕 Mastering Yolo V8 Object Detection : • Mastering YOLO V8: Obj...
📙 Supervision : • Supervision with Yolo ...
📗 Mastering Yolo NAS : • Mastering YOLO NAS: Ob...
🧑🏻💻 Build Ai Assistant : • OpenAI Assistant: From...
ultralytics seems way easier to setup than tf2 object_detection. Spent hours yesterday - this was very straightforward - good job!
Of course, it's easier than TF2 because it's a pre-trained model with very good community support. Sometimes, you have to use the most common tools.
Thank you so much it was very helpful Sir!!!
Good work. Nice and useful video. Hop to see more. Thanks.
what do you like to see more , compute vision or data analysis projects ?
@@Codewello computer vision. thank's
if you have an issue with labelImg crashing every time you try to draw the bounding box for the annotation just downgrade to a lower version of python 3.9 worked best for me
there is fix for that issue in description box check it out
in the first line what's the character you used right before the python version?
guys that character after the python version is an equals "=" sign not a hyphen "-"
i did the same train and your metrics is best than mine.. with the same train that i did in my pc, i can't detect anything.. i used the same dataset of yours..
how many image did you annotate ?
RuntimeError: Dataset 'model_config.yaml' error 'model_config.yaml' does not exist
i am getting above error while training the model, is there any way to resove it
you are missing the yaml file for the data set , do you have in folder ?
@@Codewello it got resolved, it was because of file path issue, thanks.
I am facing the same error how did you resolve it?@@luckyvishwakarma8163
Im getting simple_image_download no attribute error how to solve
Dear sir
I got this error how should i fix it
requirements: YOLOv8 requirement "ultralytics.nn.modules.conv" not found, attempting AutoUpdate...
ERROR: Could not find a version that satisfies the requirement ultralytics.nn.modules.conv (from versions: none)
ERROR: No matching distribution found for ultralytics.nn.modules.conv
Thanks!
That sounds like either a requirement issue or a need for Ultralytics to upgrade pip. Try to Google the error and you'll find a solution
i didn't find the video, you used, please attah that too
Hello, I am a beginner when it comes to Machine Learning and my question is will this work on my raspberry pi 4 Model B? and also how do I get it to work on the raspberry pi, as in how do I convert the files for the raspberry pi to be able to run this object detection and what files will I need on my raspberry pi as a prerequisite? Thank you!
will it's in side of robotics, but look at this towardsdatascience.com /yolo-object-detection-on-the-raspberry-pi-6de3629256fa
can you convert the output with audio? how?
What do you mean by 'convert the output to audio'?
We are working with images.
Can you explain what you mean?
bro its showin it cant detect the any images in val folder.What do i do?
are you sure you put the path right ?
can you convert this model to tensorflow tf2.?
What you want to do technically is to convert from PyTorch to TensorFlow. Take a look at this.
analyticsindiamag .com/converting-a-model-from-pytorch-to-tensorflow-guide-to-onnx/
What is the folder val in images information?? Same Images!!
And if there are different images. They have labels also????
Can i predict with rial camera
if it have ip than , you can
what about yolo license
he YOLOv8 models themselves can indeed be used for commercial purposes. if you want
@@Codewello means it should be purchase?
no it mean you can use it even in commercial products for free @@PANDURANG99
hey can we communicate ?
sure send my message on LinkedIn you will find the link in description
Can we communicate on what's app?
@@maheshkumar_2017 I can't drop it here but i can send it in LinkedIn chat linkedin.com/in/hossam-eldin/