Supervisely might be a bit more popular than Mailshake. We know about 6 links to it since March 2021 and only 5 links to Mailshake. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When it comes to selecting a client for sending your emails, there are countless options to choose from. We're not affiliated with any specific one, but we've found QuickMail to be effective for maximizing deliverability. While the user interface could be improved, it gets the job done and we haven't found a compelling reason to switch. Other popular alternatives include Instantly, Lemlist, MailShake, and many... Source: over 1 year ago
Create an account on mailshake.com > create a simple automated email funnel of 2 emails, one that sends 7 days after the first one. Source: almost 2 years ago
Lemlist to send emails or Mailshake as another good option. I prefer Lemlist as IMO has a better UI and includes warming-up service. Source: about 2 years ago
Do outreach and follow ups at scale. If you do this right and follow up well, your reply rates sky rocket. For my own job search, I used an email automation tool from Hunter but Mailshake and other tools work too. Source: over 2 years ago
For this, I'm currently using MailShake: https://mailshake.com/. Source: over 2 years ago
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
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
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: almost 2 years ago
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
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
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