Software Alternatives & Reviews

Universal Dapp Store VS Dataloop AI

Compare Universal Dapp Store VS Dataloop AI and see what are their differences

Universal Dapp Store logo Universal Dapp Store

Discover decentralized apps on ETH, Blockstack, IPFS & more

Dataloop AI logo Dataloop AI

Enterprise grade data platform for AI systems in development and in production.
  • Universal Dapp Store Landing page
    Landing page //
    2021-07-28
  • Dataloop AI Landing page
    Landing page //
    2023-10-21

Dataloop is an enterprise grade data platform for AI systems in development and in production, providing an end-to-end data workflow including image, video and audio data annotation, quality control, data management, automation pipelines and autoML.

Universal Dapp Store videos

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Dataloop AI videos

Auto annotation of objects using Dataloop AI

Category Popularity

0-100% (relative to Universal Dapp Store and Dataloop AI)
Crypto
100 100%
0% 0
Image Annotation
0 0%
100% 100
Web App
100 100%
0% 0
Data Labeling
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Universal Dapp Store and Dataloop AI

Universal Dapp Store Reviews

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Dataloop AI Reviews

Top Video Annotation Tools Compared 2022
Dataloop aims to drive AI to production with end-to-end data management, automation pipelines, and a quality-first data labeling platform. Their video annotation features includes:
Source: innotescus.io

What are some alternatives?

When comparing Universal Dapp Store and Dataloop AI, you can also consider the following products

Dapp Store - DappStore is a platform, which lists all popular dApps

Labelbox - Build computer vision products for the real world

DappRadar - A list of the best decentralised Ethereum applications

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

AppScope - Appscope, one of the leading directories for Progressive Web Apps (PWAs).

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...