YOLO-V4: CSPDARKNET, SPP, FPN, PANET, SAM || YOLO OBJECT DETECTION SERIES

Your lecture is one of the best i have seen so far....very informative,clear,to the point and interesting as well. Really awesome keep doing the good work...

hi great work! can you share slides

Sir kindly continue the series till YOLOV8. Your series is amazing and we are awaiting for you to complete the series

sir please make the content for remaining all versions and object detection models, videos are very captivating sir

Please continue the series ASAP sir

Please upload yolov7

Sir, im loving the series, please continue the great work

Amazing Session!

Thankyou for your explanation. I’m currently using yolo v4 for my thesis reserach and do you have some recommendation how many batch and subdivision should i use for training? becuase i keep getting low mAP after training using yolo v4 which is 79%, and i have 450 data for training, is there any chance that i can go higher than that? and how? thank you

Really informative and precised content.

Really Enjoyed learning these Yolo Version -- Still waiting for remaining versions

Hello sir, can you make videos on latest YOLO version such as V8 and V7, thank you!!

please upload yolov5

Great video. Thanks ! Can you provide a link to part 3 ?

Thank you for providing this video. kindly provide such type of video on YOLOv5 , YOLOv6 and YOLOv7 also.

Hi, could you please post a video about polygon annotation for objects, and which YOLO version supports that, and how to implement that?

bro YOLOv5 please

could you please share with us the pdf or ppt version of this presentation

Hello! thank you for the video. I think there are some innacurate concepts, for instance, there is not region of interests here because yolo is a one-stage detector. So the ROIs you are talking about, where they came from?

Thanks a ton for the nice videos, will be any following videos in the series?

hii i have a doubt is there a way i can contact you i have few doubts regarding neural networks that i hope you can solve as i saw your videos and they were pretty awesome