I was wondering to know the difference between YoloV5 an Yolov7 (the new model). A video to explain Yolov7 and compare it with other models would be a good idea too.
Hi can you help us with our project custom dataset of quail egg, it’s only function is to detect quail egg as accepted or rejected. Hope you could help us Thank you
1)Is it necessary to clone the Yolov5 git repo in the same drive and folder where we save our train/test images? 2)I have cloned the yolov5 git repo in C drive [C/yol5/yolov5] and my train/test images are in E drive under img_data folder (Train= E/img_data/train Test= E/img_data/test) Here, how should I specify the path in dataset.yaml for train: and test: P.S :I’m using anaconda prompt for running the training command for yolov5
For yolov5 the source code is available on github. You may download it. For data preparation, I suggest you to write your own code by following the video. I’ll release the code after some refactoring. Thanks
I dont understand, I already have the images for train and validation and their text files for the format, i obtained them using makesense ai, I dont know what should I do after that
Well explained and well delivered. Thank you for making this video.
the way you explain is so simple and well delivered waiting for more videos about improving the accuracy of YOLO5
thank you
Thank you for your work!
It has helped. Thank you for your work
This helped. Thanks !
I was wondering to know the difference between YoloV5 an Yolov7 (the new model). A video to explain Yolov7 and compare it with other models would be a good idea too.
Noted ! Thanks for the comment
I'm new learner. how can i get pascal format in realtime data.
Hi can you help us with our project custom dataset of quail egg, it’s only function is to detect quail egg as accepted or rejected. Hope you could help us Thank you
Thank you for reaching put! Could you please send me the details of your project to monib.korea@gmail.com ?
1)Is it necessary to clone the Yolov5 git repo in the same drive and folder where we save our train/test images?
2)I have cloned the yolov5 git repo in C drive [C/yol5/yolov5] and my train/test images are in E drive under img_data folder
(Train= E/img_data/train Test= E/img_data/test)
Here, how should I specify the path in dataset.yaml for train: and test:
P.S :I’m using anaconda prompt for running the training command for yolov5
Hi, thank you for watching. My apologies to get back so late. I was extremely busy lately. Just to clear one thing. Are you using Windows?
It will better if you explain how to install on windoes, due to run yolov5 on colabs is impossible but noone explian how to use on windows :/
That greats can you share the code??
Thank you for the support. Soon, I’ll share the source code through my webpage. Plz, stay tuned
@@ovision01 oke thanks
@@ovision01 can you share it now?
@@ovision01 can you please provide the source code?
Hi , object detection with yolo, this is great video . i want the source code
For yolov5 the source code is available on github. You may download it. For data preparation, I suggest you to write your own code by following the video. I’ll release the code after some refactoring. Thanks
I dont understand, I already have the images for train and validation and their text files for the format, i obtained them using makesense ai, I dont know what should I do after that
You can simply train the YOLO model on it