Train a custom YOLOv4 detector online ( Free GPU )

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This video shows step by step tutorial on how to train a custom YOLOv4 object detector using darknet on Google Colab. In this tutorial, I have trained a custom YOLOv4 detector for mask detection.

#yolov4 #objectdetection #googlecolab #maskdetection

① ⚡⚡ My Website Blog post on this ⚡⚡

② ⚡⚡ My Colab notebook for this ⚡⚡

③ ⚡⚡ My GitHub link for custom YOLOv4 training files ⚡⚡

④ ⚡⚡ Github link for Official Darknet repository ⚡⚡

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Thanks for watching!

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Very nice mate. One of the best videos that I have seen. Thanks !

udyogjagat

I have tried all videos out there for this topic but this one is the best! subscribed!

daivikbhatia

One of the most useful video on YouTube for training image and objects detection

JourneyStartToFinish

Thanks you. This tutorial is very good. I hope i can see more of your project

phamloc

The Best Tutorial ever. Thank you so much

Alpha-hjss

Thank you so much. This tutorial help me to detect sucessfully my object.

chai

Hi great tutorial, I'd like to ask why we don't use the pre-trained weights again when restarting the training?

nugratasik

hi sir, when i training my custom image, the output says
Tensor cores are disabled until the first 3000 iterations are reached.

is that okay sir? because its always not successfull to training my custom image.

asfghjlhgfdsa

How to calculate Recall, Confusion Matrix and average inference time in colab notebook you have mentioned in video. Also can you upload notebook for Yolov5 ?

prabhuprasaddev

Thank you.. clear steps and explanation. I have only one question. Where the yolov4.conv.137 file loaded?

nisreenalaas

Thank you very much. This video is very informative and helpful. Your explanation too is very adept.
Is there a way to save the weights more frequently? Lets say every 500 iterations.

Also, can I change the distribution ratio of the images?

mobroking

Thanks for the tutorial. Is it possible to check or even modify the epoch before training? Is there any solution? Thank you!

bintangrjp

Hi, If I want to change the backbone from darknet 53 to resnext/resnet, which part need to change? Can someone explain to me ?
Thanks

alihafidz

Hi this is an amazing tutorial, it was very thorough! I am trying to display coordinates along with the bounding box, can you hint as to how can that be done?

Thank you and Best Regards

shriyanagrath

Hi I have some question when I run to write test.txt and train.txt is not thing in side, I dont know how to fix this

nathapatjariyapongsgul

Thanks for the tutorial. Can you make video on resnet50 as feature extractor and yolo as classification and detection.

rabindulal

can we take input as image url or video URL directly, instead of the downloaded video or images for testing purposes? please reply anyone, thankyou

arpitagupta

after every iliteration during the training process, the time left is getting higher and the images in the training increases why??? please help meee

bytshift

Thanks for the video, very helpful. But i want to ask why when i try to use my dataset with 5 class, when i try to train the data, it is not saved every 1000 iteration

Benny-jpcu

Hi i swear this is a great reference omg best video ever with clear and detailed explanation!! Subscribed and turned on notif already. I need your opinion, i followed all the steps mentioned, and as i kept training until 4000-ish iterations, i noticed the avg loss value kept decreasing, and so did the mean average precision. Lets say the avg loss is 0.8 and mean average precision is 90%, do you think thats okay? According to your explanation, its better to keep training until the loss is <0.05, but on the other side, the mAP keeps decreasing too. I havent executed the testing on webcam tho. Thank you so much!! Keep making videos like this. Stay safe and much love❤

annidamf

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