Software Alternatives, Accelerators & Startups

waifu2x VS Supervisely

Compare waifu2x VS Supervisely and see what are their differences

waifu2x logo waifu2x

Online/Offline tool to upscale images

Supervisely logo Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...
  • waifu2x Landing page
    Landing page //
    2023-10-23
  • Supervisely Landing page
    Landing page //
    2023-08-06

waifu2x videos

This upscaling tool is amazing! - Waifu2x tutorial

More videos:

  • Review - Best Photo Upscaling Tool | Photoshop vs Waifu2x Caffe vs Gigapixel AI by Topaz

Supervisely videos

🛠️Basic annotation overview - Supervisely

More videos:

  • Review - Cars annotation in Supervisely: Polygons vs. AI powered tool
  • Tutorial - Yolo v3 Tutorial #2 - Object Detection Training Part 1 - Create a Supervisely Cluster

Category Popularity

0-100% (relative to waifu2x and Supervisely)
Photos & Graphics
100 100%
0% 0
Data Labeling
0 0%
100% 100
Video
100 100%
0% 0
Data Science And Machine Learning

User comments

Share your experience with using waifu2x and Supervisely. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, waifu2x should be more popular than Supervisely. It has been mentiond 24 times since March 2021. 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.

waifu2x mentions (24)

  • Dengeki PlayStation Oct. 1995 - Prototype Guilty Gear: The Missing Link article (English translation link & additional info in comments)
    In an effort to restore them as much as I could, I used a combination of waifu2x ("Single-Image Super-Resolution for Anime-Style Art using Deep Convolutional Neural Networks"), Clip Studio Paint resize/cleanup tools, and manual cleanup done by hand. Unfortunately, the red text on the title page was a lost cause. If anyone can decipher solid red rectangles please contact me lol. Source: about 1 year ago
  • Outfit 5 Wins! Thanks for playing, everyone! (P.S. I’m doing Apple next)
    Maybe this would help. There's also an app version of it. Source: over 1 year ago
  • Wallpaper background span for dual monitors (landscape and portrait)
    I would recommend putting it through an upscaler beforehand, it seems a bit small. Source: over 1 year ago
  • Anyone got a higher quality version of this pic?
    Http://waifu2x.udp.jp/index.html found this image upscaler from https://www.reddit.com/r/FireEmblemHeroes/comments/a51f0k/i_turned_yusuke_kozakis_artwork_into_a_high/?st=JPIZKYIB&sh=f12f76fe a while ago, perhaps that would be the closest if IS doesn't release anything. Source: over 1 year ago
  • Honda celebrates Max Verstappen's championship win in today's Japanese newspaper The Nikkei: "Congratulations, Max"
    You can make it bigger for print by using by using an Japanese AI image enlarging tool. Source: over 1 year ago
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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
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What are some alternatives?

When comparing waifu2x and Supervisely, you can also consider the following products

A.I. Gigapixel - AI based image resizer

Labelbox - Build computer vision products for the real world

Waifu2x Caffe - Waifu2x Caffe improves resolution of video and images using Deep Convolutional Neural Networks

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

Let's Enhance - Image upscaling supercharged

CrowdFlower - Enterprise crowdsourcing for micro-tasks