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gand fad explaination
ОтветитьGreat explanation
ОтветитьWhat an awesome video! You really know how a student thinks. You answered all my questions - even the ones that I didn't realize I had! This was some excellent video format and pacing. I have liked and subscribed.
ОтветитьAmong all the yolov explaining videos this one makes the most sense! Thanks
ОтветитьCool explanation, thanks!!
Ответить@codebasics, i want extract the features vectors for yolo. preferably the tensor before the output layer. I want to use it for training for another network. I need the tensor of yolo that contains image features, bounding boxes and probability and classes
ОтветитьNicely explain
ОтветитьI like it bro clear and simple explanations
Ответитьthanks mate, went through a couple of videos and your's the one that explain it the best
ОтветитьCan this be used for satellite images which genrally are not clear
ОтветитьThank you.
ОтветитьIs it possible to use it for regression and not clasification?
Ответитьhow to overcome with two anchor boxes??
ОтветитьHow we determine use the grid 3x3 or 4x4 or etc?
ОтветитьThank you alot this explanation is all i ever needed
ОтветитьI need pdf
ОтветитьٌWhat can I do for my imbalanced data in the medical image Where accuracy is very important and there is no excuse for mistakes.
ОтветитьThank you for the practical tutorials.🙏🙏🙏
I have the following questions:
Can we use the saved weights from YOLOv7 instance segmentation for a classification problem?
We have a binary classification problem with 500 images, one class having only 30 images and the rest belonging to the other class. Can we extract features using instance segmentation on the images with fewer samples and then use all the features for classification?
Thank you for the practical tutorials.🙏🙏🙏
I have the following questions:
Can we use the saved weights from YOLOv7 instance segmentation for a classification problem?
We have a binary classification problem with 500 images, one class having only 30 images and the rest belonging to the other class. Can we extract features using instance segmentation on the images with fewer samples and then use all the features for classification?
Hey man, good stuff. I am not a coder so pardon my question but do you know if YOLO7 or 8 can be used for body measurement and not just object detection?
ОтветитьBest explanation
ОтветитьVery good video
ОтветитьSir I have one doubt if we have images of tomato and green chilli in a same train folder and we simply giving the path and class names of apple and chilli in yaml file how the model correctly pics the apple with apple class in the shuffled dataset.
Ответить👍
Ответитьyou the best g
Ответитьvery nice explanation , btw either it will help to detect either brand logo is fake or not?
ОтветитьThere is a significant mistake about the confidence, it is not setting a threshold of IOU and then select the max probability. It is combining those two together and then select the max.
This is the core of YOLO, and you are misleading people, do your research!!!
Can I give same image multiple times when train the model ?
ОтветитьAmazing explanation as always..<3<3.
ОтветитьThis video was fantastic. Thank you
Ответитьthank you so much for this, very easy to understand !
ОтветитьThe best video!!
ОтветитьI do not understand rectangles from (time around 13). How the picture has been devided by yolo to receive these rectanngles?
Ответитьamazing content and good explanation
ОтветитьSuch a perfect introduction to YOLO. Thanks!
ОтветитьGood Video. However, I still have no idea how CNN can handle multiple anchors. Is there any paper that illustrates this technique?
ОтветитьThe amount of good information and dogs in this video make me happy :)
ОтветитьWhat a crisp and beautiful explanation without unnecessary info. Loved this tutorial.
Ответитьnice explanation
ОтветитьThanks, it's an excellent explanation, just what I needed.
ОтветитьHi sir, i have a question please, how to make object detection that can explain the view . like i want my project to say "man sitting on a chair" or "man man holding a teddy pair" , until now what i did is making it say just the object in front of the camera , and i don't know how to make it explain the view. is that is something about training my own dataset on sentences ? can any one please help me on that ......
Ответитьamazing <3
ОтветитьWhat about the loss function of this approach?
ОтветитьPlease make a video on custom data to train efficient det with implementation, format to require train effecient det model by google brain. Thank you!
ОтветитьGreetings ! Can I ask what will happen if you have 2 points in 1 rectangle ? Thank you !
Ответитьindian accent is so cute
🤣
Splendid!
ОтветитьYou just save my thesis.....
ОтветитьExcellent explanation, you teach these topics in such a way that even a layman can understand
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