YOLOv8 in python environment for object detection | VSCode | OpenCV implementation of YOLO

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The most recent and cutting-edge #YOLO model, #YoloV8, can be utilized for applications including object identification, image categorization, and instance segmentation. Ultralytics, who also produced the influential YOLOv5 model that defined the industry, developed YOLOv8. Compared to YOLOv5, YOLOv8 has a number of architectural updates and enhancements.
#computervision
#objectdetection
#ai
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Man, THANK YOU SO MUCH! I was looking for this material for more than a week, and I found it from a blogger with 10 subscribers) it's just incredible!

RG_RTS
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so far im in the minute 11 and it looks like the thing i am truly looking for. Thanks a lot man, love you so much, you're the only who teaches how to use the yolo model in python . PLease, let me spread your genes :D thanks

jordiwang
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Great content sir . Thank you for the efforts . As a request please continue making such informative and interesting content . 🙂

shwetabhat
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Explained really well. you have earned my subscription.

powerless
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THANK YOU VERY MUCH THIS VIDEO IS VERY HELPFUL

roibulm
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thank you so much, man. you helped me a lot :)

irfanhakim
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Amazing Koby! :)
can you please upload videos related to Object detection in REAL-TIME ASAP?

AishaHabib-ruwx
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Please comes out more videos like this!

timjobs
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Great video. You mentioned you will release similar video with training for custom class. Are you going to release it? I am waiting for it.

YigalBZ
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Thank you so much! I've been looking for weeks for more information on how to do this. everyone is using CLI instead

shanestevens
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Hi there, thanks much. This is very useful. When is the next video coming up?

mayakrishna
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is it possible if i use ESP32-cam as the live camera?

xinloongfoo
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Hye sir, i have run the yolo basic.py to test the image tensor, however the terminal shows None on dir. How to fix this? thankyou

ifsnqvj
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I believe the APIs have already changed since you made this video.
Could you share what version of YOLOv8 you are using?

luizconrado
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tysm for this tutorial! I just have a question, if I add a valid object that's not in the coco.txt file say "paper", can the model now detect paper?

yoshimochii
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Very good Video. Is it possible to train this Yolov8 with my custom dataset i created? I already have the images and the texfiles that contain the informations about the bounding boxes?

ranimaloui
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how can i make it so there is no output on the console whenever it detects the frames

gtxplosion
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very nice video but it will be better if you had a little better quality !!!

george_krav
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Hi! We are creating a system that classifies tomato ripeness levels using image processing in CNN architecture with the YOLOv8 model. We are using Raspberry Pi 4 OS with 4GB RAM and we have encountered a problem - the system has 2-3 minute delay/lag in classifying the ripeness level. Would you happen to have any recommendation/suggestion sir on this problem?

music_love
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Hey
I would like to know how we get the output on another terminal as you get as when I'm running the code it only giving the index and array as the output

PoojaKumari-eywg