Thank you so much for this video! I’m currently writing my thesis on semantic segmentation and your content has been very helpful, again thank you very much!
Thanks for the very informative video. I personally have used CVAT and have a great experince with it. Supports so many serverless functions for automatic labeling and has got good integration with Tensorflow, like e.g. converting the annotated dataset to Tfrecords format and few more.
Thank you very much for this video. At 10:26 I saw that when they give you the chance to use an AI model, you can chose Posenet. Does that mean you can use that last tool the label images for pose estimation? And if not, do you have any recommendations for labeling images pose estimation?
@@shsh-s6h I found one called VGG Image Annotator. I believe its primary use is to annotate images for object detection and image segmentation but it also allows you to place keypoints with labels. I suppose there might be easier tools to use but that's the one I found.
@@mostafamousa7093i don't know about good free software but MicroStation is used by professionals & is good. Also, if you capture datasets using LIDAR then basic classification - outdoor and indoor (wall, floor, ceiling) is given by software that comes with scanner. After getting basic labels I use cloud compare - using scalar field. If you get point cloud then open it in cloud compare and check what scalar field are present, that will be handy.
There are many annotation tools and I picked the ones I tested. I've never used Roboflow but most of these tools are quite similar when it comes to annotation. Some offer better interface and additional functionality than others.