YOLOv5 training with custom data

YOLOv5 training with custom data.
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YOLOv5 chicken detection.
YOLOv5 working with single class.
YOLOv5 image labeling/bounding box
chicken detection YOLOv5
YOLOv5 train on cloud (google colab)
Turn any camera into A.I object detection camera:
• Turn your IP camera in...
#YOLOv5
#customDataset
#imageAnnotation
#makesenseAi

[@bhuvneshvarvashistha6335]

Wow, this explaination is one of the best I can find on UA-cam! Thanks for your effort!

[@sowmyar7056]

Thank you for such a amazing video about YOLO, had almost everything needed in it ❤

[@chowdhuryalvikhan1666]

You explained this quite well man. Thanks a lot for such a great video. I do not comment on any channel but I couldn't stop myself from commenting on this video of yours. You are doing great man, best of luck for the future. Please do make videos on object detection using Reinforcement learning, it would help me a lot. I subscribed to your channel and liked your video, thanks man.

[@pranavkul525]

Thanks a lot for this video! Not only did you present everything really well, but also there wasn't anything in this video that I missed or didn't understand. It's good to be learning such complicated implementations with such ease!

[@umarmuhammadi429]

Please do you know how i can display number of objects in the video

[@javlontursunov6527]

@@umarmuhammadi429 I think you should count number of objects in each frame

[@umarmuhammadi429]

Yes
Please do you know how i can do that

[@davisonyeoguzoro9232]

@@umarmuhammadi429 I am interested in this too

[@jackycwwang]

Wow, the explanation is so clear and straightforward! Thank you sir!!!

[@elvenkim]

1thanks a lot!! was looking for a simple way to detect object and found this channel. Subscribed

[@aniketborkar9185]

For the first time I could execute something in the very attempt! Thanks to you Sir!!! This was seriously awesome.

[@MarkMifsud]

Thank you for the great tutorial and extra points for the chickens. I LOVE chickens!

[@BenceTGIF]

The official colab notebook has changed since this video was made but still very useful! Thank you for your work!

[@rubs63]

It's brilliant.!! Thanks for the amazing video!! Really helpful!!

[@Yawanawa_K]

Thank you! This is just what I was looking for!

[@blackdiamond7790]

Thank you soooo much. Finally after two days, I was able to do my class project ❤

[@mauricioramirezsalamanca8620]

Gracias por tomarte el tiempo de hacer este vídeo, no sabes lo útil que me fue, te juro, no tienes ni idea. Te amo.

[@hippieee9661]

BEST TUTORIAL I EVER FOLLOWED! THANK YOUUUU!!!

[@traeht]

Thank you very much! You helped me a lot with your clear explanation. I spent my whole day trying to get YOLOv5 up and running. Then I found your guide, followed it and everything works now.

[@abprojects7477]

dear can you plz tell me how he unzipped the file i wrote the same code but it says unzip: cannot find or open ../train_data.zip, ../train_data.zip.zip or ../train_data.zip.ZIP.

[@Isaac-be8dk]

i encounter the same error ,and the problem maybe we compress all the files together. and it works well when i seperate this files to upload ,hope this can help you.@@abprojects7477

[@nandininandu8375]

​Yup I've also similar error is there any sol

[@peterkipropkurui9075]

Thank you very much, been looking for this explanation. Many thanks

[@umarmuhammadi429]

Wow
Thank you very much for this tutorial it helps alot
It's very clear and straightforward 🤗🤗

[@BernardLawes]

Very well done. Easy to follow.. you’ve got a new subscriber

[@shapeyrthoughtsllshapeyrli1767]

Thank you so much bro. I can't believe that I have done an object detection model in just one day.

[@Eng-Ahmed_Gamal]

Thank you for this great video, all the best 👍🏻

[@nehan5317]

I have no words to express my gratitude towards you. Thanks a ton.

[@aleksandrjefremov3816]

Thank you so much. Very clear explanation!

[@osama82405]

excellent man,thank you for this video.look forward more such videos.

[@TheMrkillermole]

Thanks man, very helpful video.

[@abidmaqbool1427]

good tutorial, keep going on man!

[@scooterboom4157]

you are so good at teaching!

[@muhammadfahadnasir1627]

I cannot Thank You enough for this.

[@noshinsaiyaraahmad3688]

Thank you so much for this useful tutorial!

[@sachinikuruppu8462]

Thank you so much for the great tutorial!

[@herberthipolito9941]

Thankss. This video was really helpful in my project 😃.

[@yasirali8409]

What a great Explanation. very thanks it help me a lot in sport analysis matches.!)

[@shit6917]

Bro you're a god
Thanks a lot for this amazing easy to follow tutorial

[@parbirmondal3723]

Thank you Sir... It is really to the point and informative... Really too helpful

[@ku5h_]

thank you for the video!

[@MikeNapoli735]

Thank you very much! Nice video!

[@artursouto8525]

Thank you! Great Video!

[@emilefourie8544]

Great video, thanks man!

[@zemenuketema1734]

Wow best explanation really am so happy by watching this video and many students get some thing especial.

[@candysugarsosweet]

That's the great one. Thanks!!!

[@amirkarim9932]

It was great👍 thank you , keep it up

[@user-vo8nv8kd4o]

You are amazing thank u so much ❤❤❤❤❤❤❤

[@zeyadmaher2440]

Great Work !!

[@Nour-Elislem]

Thank you bro for this tutorial ,you're Amazing

[@supriyantoku]

thank you so much. Very good tutorials.

[@medinikb]

Thank you so much........for sharing your knowledge.............

[@ovejeromd]

great video thank you

[@leandroleandro6844]

Very useful, tks for sharing!

[@seinkoudiakite9546]

wahoo I'm stupefy, very good explanation. Thanks to you, I more learned about this topic

[@tutsy98]

thank you for this!

[@JeanPierre-bi5lz]

Bro, u saved me. Thx you so much!!!!

[@user-ok5dz2wf1p]

Thank you. It's settled thanks to you.

[@SohailKhan-tt5eh]

Thank you for this amazing tutorial....................

[@sharankalyan7]

Great work bro!

[@DeepLearning004]

Thanks, Please support my channel www.buymeacoffee.com/biplob004

[@namangoyal8477]

Excellent tutorial.

[@caneron6539]

Thank you so much bro. God bless you.
I love you ♥

[@abdvi4423]

you saved me bro, thanks!

[@rajritu3423]

Good video man. Keep it up

[@adithyavarma758]

Thank you so much

[@C.N.F_19]

Thank you very much !!!

[@tereshkova6075]

Thank you so much!

[@levaivanov1876]

Thank you, it's ery helpful

[@magnetizing]

My man, you absolutely murdered this explanation. I would add #objectdetection, etc. to the description to help youtube/other people find this video faster (I was riding the struggle bus hard until I found this video lol). Cannot thank you enough!!!

[@NamLe-fl4sz]

From VietNam. Thanks

[@dogukanklc6645]

Bro you are the best . You are the damnnn best

[@termoulabderaouf4118]

thank you very much

[@DrShroom.]

Hi this video was really good i found out i really like machine learning and that i chose my middle school right also i love the way you say chicken

[@vonderasche2963]

Excellent tutorial,

[@arnolddumba7949]

very helpful... thank you sir

[@dipikarathod6318]

this video is really helpful

[@girish2555]

Really a lifesaver 👍

[@DeepLearning004]

If you like to support my channel, here is link www.buymeacoffee.com/biplob004

[@merondesta3895]

thankyou sir that was useful. i trained using my own dataset but no matter how long i trained it the m@p will not get improved from 0.34 something like that i have used same data for yolov4 but it performs well

[@AjarnPedNoi]

Thanks, a lot.

[@wirahim]

thanks for the tutorial

[@user-wu5dy4jz3r]

Very useful tutorial

[@hyunsukim3791]

Good, Thanks a lot!

[@Techiefer]

great video i clear all my douts 😊😊

[@shreyamnishesh4055]

so many thanks

[@deepak161091]

Very helpful

[@lawalabdulazeez2636]

Hello, thank you so much for this beautiful tutorial. Please, could you also do a tutorial on how to deploy this model live?

[@sprasadik]

Thank you sir...

[@nakano281]

You the real mvp

[@aldrinjohnencina6153]

thank you so much.

[@pavankumarnayakaa8505]

Thank you

[@Dr.AhmedQusaySabri]

Thanks a lot

[@letuslearn9551]

Excellent

[@abeermalkawi9812]

Thanks a lot for this great explanation.

[@powpinda]

my hero !

[@vijayk2065]

thank you, finally, I am able to identify chickens.

[@_BiponDas]

Thanks man

[@demo6401]

thank you

[@ekmekarascigarette3580]

THANKS A LOT

[@MusicDrumGuitarCovers]

Great Video

[@nikhildesai2460]

Excellent Work Brother..!!

[@DeepLearning004]

Thanks ✌️

[@DeepLearning004]

Please support my channel here www.buymeacoffee.com/biplob004

[@faceprofesor]

Thanks for the video. Is it possible to annotate semantically or with polygons? Thanks

[@susdoge3767]

thanks!!

[@boyufan7373]

Vielen Dank !

[@pranavkushare6788]

Thank you Very Much . You are a Life Saver

[@DeepLearning004]

You're welcome!

[@hellosushant9471]

Great video. Subscribed. I have 2 questions: 1. All images in train val dataset should be of same size. if it is not what to do? also, testing image size should be same or not?

[@-500IQgaming]

bro, I did this more than 4 hours and repeated many mistakes but I finally succeeded, that's an achievement for me :).

[@123twini123]

nice!