Aha Reviews

Supervisely Reviews

Aha mentions (3)

• The Aha Stack

  Note, this is not the stack used by https://aha.io. - Source: Hacker News / 6 months ago

• which tool for users to submit product ideas?

  Currently I am evaluating aha.io but it's not that pretty and config is a bit sub par in my opinion. Product board seems nice but I have to evaluate it. What are you using? Source: almost 2 years ago

• "Whats new: .." or "Check this new feature" ... does it work?

  Aha.io do great pop ups - top right small box, always announcing new features / improvements / events / blog posts that are relevant. It's helped me really learn the tool more and shows me that there's always improvements and activity from the dev team. Source: almost 3 years ago

Supervisely mentions (6)

• Way to label yolov7 images fast

  Another annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an integration for owl-vit, which might be helpful for annotation of animals. https://ecosystem.supervisely.com/apps/serve-owl-vit. Source: about 1 year ago

• 65 Blog Posts to Learn Data Science

  Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start. - Source: dev.to / over 1 year ago

• Bounding Box for Text Annotation

  If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: almost 2 years ago

• CVAT alternatives for video frame annotation

  Hi, I'm exactly in the same boat like you are. I looked around for a while and the better solutions I found was supervise.ly and CVAT for video annotation. The pricetag on supervisely is pretty high, so I analyzed CVAT for a couple days and was positively surprised. Source: almost 2 years ago

• Accessing 2022 Machine Learning Imagery from WPI's Photo Album

  Under the WPI Photo Ambum section of the page for FRC field photos (https://www.firstinspires.org/robotics/frc/playing-field#WPIPhotos), they have a section of machine learning imagery. However, this link goes to supervise.ly, the website they use for machine learning. I created an account to attempt to download the images, however, whenever I try to 'clone' the project, it stalls at 0% and gives me an error... Source: about 2 years ago