Thank you for the comment and suggestion. I’ll soon upload a video on how to train Yolov5 (object detection model) on a custom dataset. Please, stay tuned and thank you for your support once again.
Can you suggest what to do if I want to label 1000s of images for the same label type. I have to click and go through the pop up millions of times. Please, if you could help I would greatly appreciate it
*HELP* Hi, thanks for this video, I am annotating lots of photos to feed software. I would like to modify a label in the list. how to proceed without doing it on each photo one by one? thanks in advance
I don’t get your question well. Do you mean similar objects or same objects? Let’s say there are two cats in an image. Both should be labeled as “cat”. Hope it helps
Hi, currently the latest release is 5.0.2 but I'd like to use the 4.5.12 - could you please guide on how to install that version? I have tried pip install labelme v4.5.12 - Nothing pip install labelme 4.5.12 - Nothing..
@@ovision01 once the images are annotated with polygons marking regions of interest, is there a way to resize the images ALONG with the resizing of the regions of interest?
@@SalaarArifKhan I’m afraid there’s no such feature available in Labelme. However, you can easily do that using Python with openCV. All you need to do is to resize the image using a ratio and apply the same ratio on your labeled area enlarge it. Hope it helps
@@MS-bs4cg i tried exactly this. But the newly resized images do not show up in their new sizes in labelme. Only the new annotations show up correctly. So correct annotation on old image size is visible on labelme which is a bit frustrating.
I was looking for this all over the internet. Thank you
very easy and informative video. please explain about advanced features of labelme that you mentioned
Really cool video, thanks!
A nice idea would be on how to create a custom instance segmentation and/or object detection small dataset and train it
Thank you for the comment and suggestion. I’ll soon upload a video on how to train Yolov5 (object detection model) on a custom dataset. Please, stay tuned and thank you for your support once again.
Thanks mate. This is a very helpful video for me.
Very well explained. Thank you so much. Is there a video coming out about the advanced features of LabelMe?
Wow. That’s very informative
Thanks! Very much appreciated :) BTW, is it still the best free tool for this purpose? Any other tools you might suggest?
How to change the colour of the images that are getting annotated, say I needed the sofa in orange box instead of grey
Can you suggest what to do if I want to label 1000s of images for the same label type. I have to click and go through the pop up millions of times. Please, if you could help I would greatly appreciate it
Sir how can I convert json to text or png to text for Yolo8 model? Can you please help this...
*HELP*
Hi, thanks for this video, I am annotating lots of photos to feed software. I would like to modify a label in the list. how to proceed without doing it on each photo one by one? thanks in advance
Hi, nice tutorial, I have a question: the 4 numbers of points from json are x1,y1 and x2, y2 from de bounding box? Thx
Yes
Could you please share how to train the model with created dataset? it will be very helpful
well done brother .
nice tutorial I have question if there are multiple similar items in an image then how to label them all (say multiple seeds or pods)?
I don’t get your question well. Do you mean similar objects or same objects? Let’s say there are two cats in an image. Both should be labeled as “cat”. Hope it helps
Hi, currently the latest release is 5.0.2 but I'd like to use the 4.5.12 - could you please guide on how to install that version?
I have tried pip install labelme v4.5.12 - Nothing
pip install labelme 4.5.12 - Nothing..
Use pip install labelme=4.5.12. Hope it solves your problem
bro i labelled the data but when same objects are their in different images it gives different colours to it instead of same colour
thanks a lot
Is there a way to resize the images after annotating in LabelMe ??
Could you elaborate your question a little bit more?
@@ovision01 once the images are annotated with polygons marking regions of interest, is there a way to resize the images ALONG with the resizing of the regions of interest?
@@SalaarArifKhan I’m afraid there’s no such feature available in Labelme. However, you can easily do that using Python with openCV. All you need to do is to resize the image using a ratio and apply the same ratio on your labeled area enlarge it. Hope it helps
@@MS-bs4cg i tried exactly this. But the newly resized images do not show up in their new sizes in labelme. Only the new annotations show up correctly. So correct annotation on old image size is visible on labelme which is a bit frustrating.
@@MS-bs4cg even with new image dimensions, labelme is reading the old hash of the image and does not show up image with new size