Apologies if the title is a bit unclear. I'm in the process of creating an affiliate website that promotes products within a specific niche, utilizing referral links for monetization. I envision a structure akin to a Pinterest board or the format employed by this website. My goal is to achieve a highly visual interface. The homepage is intended to function as an image board showcasing various products, with the... Source: 7 months ago

Really Good Emails - Another one of the bangers. (One of my Favorites). Source: 12 months ago

Https://reallygoodemails.com is a great place to find inspiration and ideas. Source: about 1 year ago

Here are a few websites to help: (may be updated since 2018) • Get emoji -https://getemoji.com/ Add emojis to the subject lines for better open rates. • SPAM Trigger Words - https://blog.prospect.io/455-email-spam-trigger-words-avoid-2018/455 words to avoid. • Subject Line words to use and not to use - https://content.coschedule.com/EmailSubjectLine-Words-Download.pdf • Write better subject lines -... Source: about 1 year ago

I like checking out https://reallygoodemails.com/ to see how other people are creating good email design despite its limitations. Source: over 1 year 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