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 KZbin! Thanks for your effort!

[@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

[@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.

[@aniketborkar9185]

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

[@jackycwwang]

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

[@BenceTGIF]

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

[@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.

[@elvenkim]

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

[@MarkMifsud]

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

[@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

[@rubs63]

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

[@shapeyrthoughtsllshapeyrli1767]

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

[@Yawanawa_K]

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

[@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 🤗🤗

[@Eng-Ahmed_Gamal]

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

[@BernardLawes]

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

[@osama82405]

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

[@aleksandrjefremov3816]

Thank you so much. Very clear explanation!

[@zemenuketema1734]

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

[@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.!)

[@TheMrkillermole]

Thanks man, very helpful video.

[@scooterboom4157]

you are so good at teaching!

[@shit6917]

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

[@abidmaqbool1427]

good tutorial, keep going on man!

[@MikeNapoli735]

Thank you very much! Nice video!

[@nehan5317]

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

[@muhammadfahadnasir1627]

I cannot Thank You enough for this.

[@artursouto8525]

Thank you! Great Video!

[@emilefourie8544]

Great video, thanks man!

[@parbirmondal3723]

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

[@amirkarim9932]

It was great👍 thank you , keep it up

[@ku5h_]

thank you for the video!

[@supriyantoku]

thank you so much. Very good tutorials.

[@seinkoudiakite9546]

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

[@candysugarsosweet]

That's the great one. Thanks!!!

[@zeyadmaher2440]

Great Work !!

[@Nour-Elislem]

Thank you bro for this tutorial ,you're Amazing

[@user-vo8nv8kd4o]

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

[@-500IQgaming]

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

[@medinikb]

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

[@randomly-genrated]

lol.....I got that memory error too, but I paused the video and never saw that you got it too and I spent an hour figuring out the same fix. Then I came back and resumed the video and in probably 10 seconds you changed the batch size lol....

[@shivamamrutkar8915]

Life🙃

[@leandroleandro6844]

Very useful, tks for sharing!

[@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

[@namangoyal8477]

Excellent tutorial.

[@faceprofesor]

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

[@caneron6539]

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

[@SohailKhan-tt5eh]

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

[@JeanPierre-bi5lz]

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

[@tutsy98]

thank you for this!

[@rajritu3423]

Good video man. Keep it up

[@user-ok5dz2wf1p]

Thank you. It's settled thanks to you.

[@elaineyang2721]

thank you! I have a question, why in the beginning you have train and val, but later you get train and test?

[@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?

[@dogukanklc6645]

Bro you are the best . You are the damnnn best

[@adithyavarma758]

Thank you so much

[@vonderasche2963]

Excellent tutorial,

[@sharankalyan7]

Great work bro!

[@DeepLearning004]

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

[@lawalabdulazeez2636]

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

[@levaivanov1876]

Thank you, it's ery helpful

[@C.N.F_19]

Thank you very much !!!

[@pedropauloaliendelonguini2247]

Thank you for this amazing tutorial! Is it possible to automatically cap.release() the webcam after the first frame with detection (single class model)? If so, how?

[@tereshkova6075]

Thank you so much!

[@abdvi4423]

you saved me bro, thanks!

[@arnolddumba7949]

very helpful... thank you sir

[@mithraravi4722]

Thankyou for this video! How to turn on Webcam and do object detection in real-time...can please say what changes should be done?

[@nikhildesai2460]

Excellent Work Brother..!!

[@DeepLearning004]

Thanks ✌️

[@DeepLearning004]

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

[@mort-ai]

if the image size is smaller does this gives more accuracy or less time for the training?

[@gaunterodimm1539]

hey, i wanna ask, why you don't use test data? just only train and validation?

[@termoulabderaouf4118]

thank you very much

[@aldrinjohnencina6153]

thank you so much.

[@cdvalera001]

Dear Sr. Just one Question!!!. How to know how to know the proportion of images in the train folder and in the valid folder. Can the same images be used in both folders?

[@dipikarathod6318]

this video is really helpful

[@vijayk2065]

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

[@Techiefer]

great video i clear all my douts 😊😊

[@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

[@NamLe-fl4sz]

From VietNam. Thanks

[@wirahim]

thanks for the tutorial

[@iremustek778]

Hi! thank you for the video. I have a quick question, My data folder structure is same with yours : dataset/images/train (300 files) dataset/images/test (63 images) dataset/labels/train( 300 txt) dataset/labels/test (63 txt) While training the model, is it normal that it always show me this?: Class Images Instances 63 63 63

[@girish2555]

Really a lifesaver 👍

[@DeepLearning004]

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

[@deepak161091]

Very helpful

[@user-hp2ek9sj8y]

great video and explaining. I did everything as you mentioned but the model can't detect any image from the video. although it does detect it in the runs. .

[@user-wu5dy4jz3r]

Very useful tutorial

[@souadelh8123]

Hi thank you for this video. I have a question , it just first time I will learn about this . after detection is that number showed with detection is it a feature of chicken? Is it its length?

[@powpinda]

my hero !

[@hyunsukim3791]

Good, Thanks a lot!

[@shreyamnishesh4055]

so many thanks

[@AjarnPedNoi]

Thanks, a lot.

[@efgerfgergferg6749]

Any tips on increasing the confidence level of detected objects? Thanks

[@hrishikeshss7950]

Brilliant Video, how to fine tune the model for face recognition? 1. I'm getting 2 boxes on the same face for face recognition, for classes where the data was not sufficient 2. Some faces are just labelled wrong

[@pavankumarnayakaa8505]

Thank you

[@sprasadik]

Thank you sir...

[@kirbywebb267]

Have you had any experience converting the trained YOLOv5 model from pytorch to an mlmodel?

[@MusicDrumGuitarCovers]

Great Video

[@nakano281]

You the real mvp

[@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!!!