Picoworkers VS Supervisely

1. Go to any of these websites - Https://microworkers.com Https://picoworkers.com Https://rapidworkers.com Https://mturk.com. Source: almost 2 years ago

You can try sites with micro jobs like microworkers, picoworkers or similar sites. Source: over 2 years ago

A platform called picoworker provide easy 1-5min tasks and you can easily make average $5 per day if you put in the work. Use my referral link for bonus. Ref- https://picoworkers.com/?a=85757679 Non-ref- https://picoworkers.com/. Source: over 2 years ago

Picoworkers.com picoworkers's my work is correct,,but my job is unsatisfied I will destroy your reddit account. Source: almost 3 years ago

Https://picoworkers.com/?a=0441e394 ( referral link no bonuses at the moment for referral u will just help me ) https://picoworkers.com/ (non referral) This is an odd one there are tons of tanks the majority of them are for signup but there are tons tasks for watching YouTube videos and liking them ( varies from 0.005 usd to 0.01 for a task ) so far on 3 days made 3 usd profit like 1 usd a day (not the best but... Source: about 3 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: over 1 year 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: almost 2 years ago