YOLO V2 - Better, Faster & Stronger || YOLO OBJECT DETECTION SERIES || YOLO9000

  Рет қаралды 15,184

ML For Nerds

ML For Nerds

Күн бұрын

Пікірлер: 44
@MLForNerds
@MLForNerds 2 жыл бұрын
Watch the full playlist of YOLO Object Detection Family kzbin.info/aero/PL1u-h-YIOL0sZJsku-vq7cUGbqDEeDK0a
@helloansuman
@helloansuman 9 ай бұрын
This video ppt is missing in github. But great work.
@MLForNerds
@MLForNerds 9 ай бұрын
Yeah, it's huge in MBs, need to upload in lfs or share drive link. Will do
@helloansuman
@helloansuman 9 ай бұрын
@@MLForNerds yes gdrive link will be good. 👍
@Maximos80
@Maximos80 6 ай бұрын
The best explanations of YOLO on KZbin. Period. Thank you!🙏
@kunalliman
@kunalliman Жыл бұрын
After so many searches......The best playlist on KZbin for YOLO Object Detection Family. 👍
@mdminhazurrahman3089
@mdminhazurrahman3089 Жыл бұрын
I think even 6th grade student will understand your explanation!!! Awesome awesome!!!
@MLForNerds
@MLForNerds Жыл бұрын
Thank you for the heartfelt response.🙏
@shiholololo1053
@shiholololo1053 Жыл бұрын
Thanks for this tutorial. Your level of understanding and teaching is beyond par - A gift indeed.
@glowish1993
@glowish1993 Жыл бұрын
sick lectures so underrated!
@raghavbhandari6983
@raghavbhandari6983 11 ай бұрын
Pls Make video on Yolo v5,v6,v7,v8 and v9. It will be great if you cover YOLO NAS, Yolo World . Thank You for your amazing Videos!!:)
@Koanhshwudhbdne
@Koanhshwudhbdne Жыл бұрын
best explanation of yolo on the internet
@harshans7712
@harshans7712 5 ай бұрын
Thanks a lot for this video, this was really helpful
@Pikachu_rat
@Pikachu_rat Жыл бұрын
your videos are extremely informative. Thank you very much.
@AjitChaturvedi-y2x
@AjitChaturvedi-y2x 4 ай бұрын
The number of prediction for each grid is not equal to the number of classes. Its depend upon the number of anchor boxes and in the paper they have taken the 5 anchor boxes for each grid cell. So maximum number of prediction can yolov2 is 13*13*5.
@loading_700
@loading_700 4 ай бұрын
Thank you for this wonderful video. I have one question. YOLOv2 decides the ratios for the anchor boxes using the GT(ground truth) dataset. So does that mean it cannot be used(retrained) with the dataset that doesn't have GTs?
@emoji4652
@emoji4652 5 ай бұрын
Bro ❤ that's so better than 200 usdt lectures
@wiputtuvaynond761
@wiputtuvaynond761 6 ай бұрын
Thank you very much for the best explaination of yolo papers on youtube. I have a question of loss calculation on multiscale training. This affects the number of output grid (WxHXS) used in loss calculation when input image(WxH) size changes. How does the loss calculation maintain consistency for this training scheme?
@karthickmurugan8478
@karthickmurugan8478 4 ай бұрын
Is anchor boxes are created based on grid.. means the center of anchor will be in the selected grid?
@The_big_shot614
@The_big_shot614 Жыл бұрын
genius bro
@Raj-xz4vz
@Raj-xz4vz Жыл бұрын
If we have only convolution layer then how it helps?? like how grid cell and bounding box number can be increased
@youneskhafaja5937
@youneskhafaja5937 Жыл бұрын
good explanation
@MLForNerds
@MLForNerds Жыл бұрын
Thank you
@I_Anupam_Pandey
@I_Anupam_Pandey Жыл бұрын
amazing explaination sir please complete the playlist and make yolo v5,v6,v7 also
@tubercn
@tubercn Жыл бұрын
Thanks for your explain, but i have a question on the Total loss Function , what the 1MaxIOU
@NandiniJain-j8g
@NandiniJain-j8g 10 ай бұрын
Please make a video on v5 v6 v7 v8 v9 as well
@noahzhou979
@noahzhou979 Жыл бұрын
this is awesome !
@syedmoiezullahbukhari2676
@syedmoiezullahbukhari2676 7 ай бұрын
thank you i could have nerver learn and understand any better then your video
@kagadevishal5008
@kagadevishal5008 Жыл бұрын
what a excellent explanation. From where you got the in-depth information.
@MLForNerds
@MLForNerds 10 ай бұрын
Glad you liked it. I look into source code from github and match it with paper.
@kagadevishal5008
@kagadevishal5008 10 ай бұрын
@@MLForNerds are you going to make videos? Or you left KZbin?
@MLForNerds
@MLForNerds 10 ай бұрын
I will restart making in few days. I stopped making because of personal commitments. Thanks for staying back with the channel, I appreciate your patience🙂
@neha280790
@neha280790 Жыл бұрын
Wonderful videos sir. Great explanation. I've just started learning yolov7 and referring your videos for the base knowledge. I just want to know do i need any specific gpu for experimenting yolov7 or collab gpu will work?
@MLForNerds
@MLForNerds Жыл бұрын
Collab Gpu should work fine. Usually they’re T4 Gpus of 16GB.
@usamatahir5429
@usamatahir5429 29 күн бұрын
can you please share ppt/slides you used in this video i've my presentation on v2 next week
@MLForNerds
@MLForNerds 28 күн бұрын
Ping me your email id
@pavanKUMAR-tt4jt
@pavanKUMAR-tt4jt 2 жыл бұрын
Amazing explanation please explain yolo v7
@MLForNerds
@MLForNerds 2 жыл бұрын
Thanks Pavan, I will.
@enghosamnima84
@enghosamnima84 Жыл бұрын
Thank you for the greate explanation. Could you please share the slides?
@adithyahegdekota2586
@adithyahegdekota2586 Жыл бұрын
Is there a link for code to develop YOLO from scratch for a custom dataset I know I can use the one in Github but I want to learn about the concept in depth So can U help me with the code part
@MLForNerds
@MLForNerds Жыл бұрын
You meant yolov1?
@MuhammadAltaf146
@MuhammadAltaf146 Жыл бұрын
Wonderful tutorials. I couldn't find the slides for Yolo V2 in the repository. Can you please check/upload them?
@MLForNerds
@MLForNerds Жыл бұрын
That ppt is taking more space and I couldn't upload directly via browser. Will upload through git commands.
@I_Anupam_Pandey
@I_Anupam_Pandey Жыл бұрын
can you please share github repository link?
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