Software Alternatives, Accelerators & Startups

KopiKat VS Supervisely

Compare KopiKat VS Supervisely and see what are their differences

KopiKat logo KopiKat

Generative image data augmentation tool preserving annotations. Enhance the precision of AI models without modifying the network structure.

Supervisely logo Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...
  • KopiKat Landing page
    Landing page //
    2023-07-18

KopiKat generates a new, visually realistic duplicate of the original image, maintaining all critical data annotations. It alters the environment of the original images, for instance, adjusting factors like weather, seasons, and lighting conditions to add variety to datasets. This is crucial for fields such as object detection, neural network training, and transfer learning.

  • Supervisely Landing page
    Landing page //
    2023-08-06

KopiKat

Website
kopikat.co
Pricing URL
-
$ Details
freemium
Platforms
Web
Release Date
2023 April

KopiKat features and specs

  • API: Yes
  • Free Trial: Yes

Supervisely features and specs

No features have been listed yet.

KopiKat videos

Enhance Your Images with Kopikat | SaaS Reviews

More videos:

  • Review - KopiKat.co: 10x Your Machine Learning Data in Minutes - #OpenCV Weekly Episode 101
  • Review - Summer Wine Brewery - Kopikat : Imperial Mocha Stout - HopZine Beer Review

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 KopiKat and Supervisely)
AI
16 16%
84% 84
Data Labeling
0 0%
100% 100
Developer Tools
100 100%
0% 0
Image Annotation
0 0%
100% 100

Questions and Answers

As answered by people managing KopiKat and Supervisely.

What's the story behind your product?

KopiKat's answer

Our goal with Kopikat is to strengthen practical applications, especially in scenarios where collecting an extensive dataset proves to be difficult. Kopikat is ideally designed for datasets containing up to 5,000 images, a common feature of numerous real-world AI initiatives. It equips engineers with the ability to enhance mean average precision (mAP), broaden and vary datasets—a critical edge in fields like object detection, neural network training, and transfer learning.

What makes your product unique?

KopiKat's answer

KopiKat's operation is remarkably simple and efficient for its users. All a user has to do is upload one image from their dataset. KopiKat then produces numerous images showcasing different scenarios, like alterations in illumination or weather, all the while preserving the annotations consistently. This attribute considerably expands the diversity of the dataset without requiring extra images, and creates a comprehensive, superior-quality model that introduces diversity beyond what traditional data augmentation techniques can offer. This method has demonstrated an improvement of over 5% in mean average precision (mAP), without any alterations to the AI model.

User comments

Share your experience with using KopiKat 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, Supervisely seems to be more popular. It has been mentiond 6 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.

KopiKat mentions (0)

We have not tracked any mentions of KopiKat yet. Tracking of KopiKat recommendations started around Jul 2023.

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: almost 2 years ago
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What are some alternatives?

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

Label Studio - Open Source Data Labeling Platform for AI Model Tuning

Labelbox - Build computer vision products for the real world

Gretel AI Beta² - Generate unlimited synthetic data in minutes

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

Generated Photos Datasets - Reduce bias in AI systems with synthetic face datasets

CrowdFlower - Enterprise crowdsourcing for micro-tasks