YOLOv10: Train a Custom Model and Run Inference on Live Webcam

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In this video 📝 we are going to take a look at how to Train a Custom YOLOv10 Model and Run Inference on Live Webcam. We will cover the whole computer vision training pipeline from dataset generation with webcam, labelling with Roboflow, export and train in Google Colab notebook with free GPU. After training, we take a look at the results and evaluate the model. Then we jump into a python script and write the inference code line by line and run it on a live webcam with detections.

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Timestamps:
00:00 Introduction
00:32 YOLOv10 GitHub Repository
02:07 Generate Dataset
05:01 Upload Dataset to Roboflow
05:37 Annotate Images
06:29 Create Dataset
07:36 Export Dataset
08:04 Install YOLOv10
09:52 Inference Pretrained Model
13:31 Download Dataset
14:39 Train Custom YOLOv10 Model
15:46 Training Results
18:28 Inference Live Webcam

Tags: #YOLOv10 #CustomYOLOv10 #objectdetection
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Enroll in My School and Technical Courses

NicolaiAI
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Nicolai Nielsen, You're the best! I subscribed because I love your content!

IOSALive
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Nicolai Nielsen, This made me laugh so much! Thanks for sharing!

IOSALive
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the consumption seems better, but actually it doesnt give me the thought like disruptive

alberthades
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Awesome video Nicolai, yolov10 is great news for the space.
I have been doing some tests with the models exported to OpenVino and i can get some pretty decent inference time results on CPU with this new family of models, a good 20-30% improvement w.r.t the equivalent yolov8 models.

danielcu
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how to save yolov10 training process in Google Drive, in order to be able to resume the training if it was interrupted and i want to continue the training from the last checkpoint?

egamomusu
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Thanks for this useful tutorial. In the last part of the video for the inference, you don't put the model in eval mode 'model.eval()', and you don't use 'with torch.no_grad()' for the inference. Is it useless in your case?

nicolasgauttier
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I live on a busy street and would like to do traffic counting. I would like to track pedestrians, bicyclists, cars, buses, etc.

I am a newbie but would anyone recommend a specific wireless web camera? I am thinking of installing on a tree and looking for a solar recharge option. I would also like to track things 24/7 so night capability is needed.

Just wondering what camera(s) and features I should look for.

Just started to do some stuff in Python, but could be an interesting project.

Thanks very much.

peteolesen
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Would it be possible to label events? For example, a highway camera and labelling where it's should label it as "traffic_congestion"?

yasin
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Why do a whole bunch of boxes show up on my object detection?

jxuuls
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Couldn’t able to import Yolov10 from ultralytics in pycharm

akshaygn
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I want to request on how to do this project on classification sir, please.

dakaradakaradakara
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Thanks! Does YOLOv10 have segmentation model as well? I haven't seen on the official website.

aryehrotberg
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hello, i have get error (cannot import name 'YOLOv10' from 'ultralytics') and i install in local my ultralytics==8.2.48 version

vasanth
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Why in logs at 15:15 wrote that using yolov8. And a little bit later will be download yolov8n??

tuzik
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can you do it from tge very first step? im new, i need this for my school proj

jaimeabug
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hello, i have error (cannot import name 'YOLOv10' from 'ultralytics')

DarhanZhaksalykov
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Hello bro
Selam Aleyküm!
i want custom dataset with yolov10 but some mistake!
from ultralytics import YOLOv10
ImportError: cannot import name 'YOLOv10' from 'ultralytics'

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