Software Alternatives, Accelerators & Startups

V7 VS VGG Image Annotator (VIA)

Compare V7 VS VGG Image Annotator (VIA) and see what are their differences

V7 logo V7

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

VGG Image Annotator (VIA) logo VGG Image Annotator (VIA)

VGG Image Annotator is a simple and standalone manual annotation software for image, audio and video. VIA runs in a web browser and does not require any installation or setup.
  • V7 Landing page
    Landing page //
    2023-08-06
  • VGG Image Annotator (VIA) Landing page
    Landing page //
    2022-09-08

V7 features and specs

  • User-Friendly Interface
    V7 offers an intuitive and easy-to-use interface that simplifies the process of managing and annotating datasets, making it accessible even to non-experts.
  • Advanced Annotation Tools
    The platform provides a range of advanced annotation tools, including auto-annotation features and support for 2D and 3D data, which help speed up the labeling process and improve accuracy.
  • Collaboration Features
    V7 supports collaborative projects, allowing multiple users to work on the same datasets simultaneously, which enhances team productivity and ensures consistent data labeling.
  • Integration Capabilities
    The platform easily integrates with popular machine learning frameworks and cloud storage solutions, providing a seamless workflow from dataset creation to model training.
  • Scalability
    V7 is designed to handle large datasets efficiently, making it suitable for projects that require scaling up as data grows.

Possible disadvantages of V7

  • Cost
    The platform can be expensive for individual users or small teams, especially when using advanced features, which might limit its accessibility for smaller projects.
  • Learning Curve
    While the interface is user-friendly, there might still be a learning curve for users unfamiliar with data annotation platforms, particularly when using advanced functionalities.
  • Internet Dependency
    As a cloud-based platform, V7 requires a stable internet connection, which might be a limitation in regions with unreliable internet access or for users needing offline capabilities.

VGG Image Annotator (VIA) features and specs

  • Ease of Use
    VIA is user-friendly and simple to set up, making it accessible to users without extensive technical knowledge.
  • No Installation Required
    As a web-based tool, VGG Image Annotator runs directly in a browser and doesn't require any installation or special software.
  • Lightweight
    The tool has a small footprint and can be run effectively on systems with limited resources, making it efficient for quick tasks and analysis.
  • Versatility
    VIA supports various annotation types like points, rectangles, polygons, and allows for both manual and automatic annotation, catering to diverse project needs.
  • Customizable
    VIA's source code is available for modification, offering customization possibilities to fit specific project requirements.
  • Collaboration Features
    It allows users to save annotations in JSON format, making it easy to share and integrate into larger workflows or collaborate within teams.

Possible disadvantages of VGG Image Annotator (VIA)

  • Limited Performance for Large Datasets
    When dealing with large datasets, VIA can become slow or unresponsive due to its reliance on browser-based operation which hampers performance scalability.
  • Basic Interface
    The interface is quite simplistic and may lack the advanced features or aesthetics found in more sophisticated, dedicated annotation software.
  • Lack of Automation for Advanced Needs
    While it supports basic automatic annotation, it is not as advanced or robust for complex tasks, which might require more manual input or additional tools.
  • Limited Support
    Being an open-source project, it may not offer the same level of professional customer support or regular updates as commercial tools.

V7 videos

Automated Image Labelling with Auto-Annotate - V7 Darwin

More videos:

  • Review - Annotation Basics (OLD) - V7 Darwin AI Academy
  • Review - Video Annotation - V7 Darwin

VGG Image Annotator (VIA) videos

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Category Popularity

0-100% (relative to V7 and VGG Image Annotator (VIA))
Data Labeling
87 87%
13% 13
Image Annotation
78 78%
22% 22
AI
70 70%
30% 30
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare V7 and VGG Image Annotator (VIA)

V7 Reviews

Top Video Annotation Tools Compared 2022
V7 allows for collaboration and automated workflows, so you can reach human accuracy faster with 10x more training data. V7 offers features similar to Innotescus like
Source: innotescus.io

VGG Image Annotator (VIA) Reviews

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Social recommendations and mentions

Based on our record, V7 seems to be more popular. It has been mentiond 1 time 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.

V7 mentions (1)

  • Ask HN: Who is hiring? (December 2022)
    Https://v7labs.com We're automating humanity’s most important visual tasks from early cancer screening, to alzheimer's research, to giving sight to autonomous robots. Dealroom's most promising breakout company of 2022, Forbes top 20 ML startup of 2021. Just raise a $33m Series A and backed by AI heavyweights, including the creators of Keras, Elixir and leaders at DeepMindaand OpenAI. This month we're hiring for: -... - Source: Hacker News / over 2 years ago

VGG Image Annotator (VIA) mentions (0)

We have not tracked any mentions of VGG Image Annotator (VIA) yet. Tracking of VGG Image Annotator (VIA) recommendations started around Mar 2021.

What are some alternatives?

When comparing V7 and VGG Image Annotator (VIA), you can also consider the following products

Labelbox - Build computer vision products for the real world

CrowdFlower - Enterprise crowdsourcing for micro-tasks

CloudFactory - Human-powered Data Processing for AI and Automation

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

SuperAnnotate - Empowering Enterprises with Custom LLM/GenAI/CV Models.

Amazon Mechanical Turk - The online market place for work.