Software Alternatives, Accelerators & Startups

FastCV Computer Vision VS Labelbox

Compare FastCV Computer Vision VS Labelbox and see what are their differences

FastCV Computer Vision logo FastCV Computer Vision

FastCV will enable you to add new user experiences into your camera-based apps like:

Labelbox logo Labelbox

Build computer vision products for the real world
  • FastCV Computer Vision Landing page
    Landing page //
    2021-12-19
  • Labelbox Landing page
    Landing page //
    2023-08-20

A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.

FastCV Computer Vision features and specs

  • High Performance
    FastCV is optimized to take advantage of the hardware acceleration available in Qualcomm's Snapdragon processors, ensuring efficient performance for real-time mobile applications.
  • Comprehensive Feature Set
    FastCV provides a wide range of computer vision functionalities including image processing, object tracking, and facial processing, which are crucial for developing diverse vision-based applications.
  • Energy Efficiency
    By optimizing processing on mobile devices, FastCV helps in conserving battery life, which is critical for mobile applications.
  • Cross-platform Development
    FastCV supports both Android and iOS platforms, making it easier for developers to build cross-platform applications using one SDK.

Possible disadvantages of FastCV Computer Vision

  • Limited to Snapdragon Devices
    Being optimized for Qualcomm's Snapdragon processors, FastCV might not perform as effectively on non-Snapdragon devices, potentially limiting its versatility.
  • Complex Setup
    Integrating FastCV into projects can be complex and requires a solid understanding of both mobile development and computer vision concepts, potentially increasing development time.
  • Proprietary Software
    As a proprietary solution, FastCV may not offer the same degree of customization and transparency as open-source alternatives, potentially limiting developer flexibility.
  • Updates and Support Dependency
    The SDK is dependent on Qualcomm for updates and support, which may be slower compared to community-driven projects, impacting developers who need rapid iterations.

Labelbox features and specs

  • User-Friendly Interface
    Labelbox features a clean, intuitive interface that makes it easy for users to navigate and manage their projects, even for those who are new to data labeling.
  • Collaboration Tools
    The platform includes robust collaboration tools, allowing multiple team members to work together efficiently on the same project and oversee progress in real-time.
  • API Integration
    Labelbox provides a powerful API that enables seamless integration with other tools and systems, which can help automate workflows and enhance productivity.
  • Comprehensive Annotations
    The platform supports a wide range of annotation types including bounding boxes, polygons, and more. This flexibility allows users to create detailed and precise annotations for diverse use cases.
  • Scalability
    Labelbox is designed to scale with your needs, making it suitable for small projects as well as large enterprises requiring high-volume data labeling.
  • Quality Assurance Features
    Labelbox includes features for quality control and assurance, such as review workflows and consensus scoring, to ensure the accuracy and reliability of labeled data.
  • Data Security
    With strong security protocols in place, Labelbox ensures that sensitive data is protected, meeting compliance standards for various industries.

Possible disadvantages of Labelbox

  • Cost
    Labelbox can be expensive, especially for small teams or startups. The cost might be prohibitive for those with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some advanced features have a learning curve, requiring time and training to leverage the platform's full potential.
  • Dependency on Internet Connection
    Since Labelbox is a cloud-based platform, a stable internet connection is required. Any internet issues can disrupt workflow and access.
  • Limited Offline Capabilities
    The platform's reliance on being cloud-based means it offers limited offline capabilities, restricting users who might need to work without internet access.
  • Feature Limitations on Basic Plans
    Some advanced features and integrations are only available in higher-tier plans, which can be restrictive for users on basic subscription plans.
  • Integration Complexity
    While powerful, API integrations can be complex and may require technical expertise to set up and maintain effectively.

FastCV Computer Vision videos

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Labelbox videos

Review App : Labelbox

More videos:

  • Review - Machine Learning Support Engineer at Labelbox
  • Review - Bounding box annotation with Labelbox

Category Popularity

0-100% (relative to FastCV Computer Vision and Labelbox)
Data Science And Machine Learning
Data Labeling
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Image Annotation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare FastCV Computer Vision and Labelbox

FastCV Computer Vision Reviews

We have no reviews of FastCV Computer Vision yet.
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Labelbox Reviews

  1. Sharon
    · manager at Mcormicki ·
    Unreliable

    Service goes down often. Very slow team. Slow support.

    🏁 Competitors: Diffgram
    👎 Cons:    Slow|Bad support

Top Video Annotation Tools Compared 2022
However, Labelbox only accepts .mp4 files into their platform, and only their most basic annotation modes have the full scope of video annotation options. When annotating videos with segmentation masks, annotators must step through each frame to view their work – there is no playback option.
Source: innotescus.io

Social recommendations and mentions

Based on our record, Labelbox seems to be more popular. It has been mentiond 8 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.

FastCV Computer Vision mentions (0)

We have not tracked any mentions of FastCV Computer Vision yet. Tracking of FastCV Computer Vision recommendations started around Mar 2021.

Labelbox mentions (8)

  • Ask HN: Who is hiring? (October 2022)
    Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / over 2 years ago
  • Model Assisted Labeling using Label box
    Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but I’m honestly still very confused. Any help... Source: almost 3 years ago
  • What MDR is doing: a Machine Learning perspective
    By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: about 3 years ago
  • [D] Any recommendations for image annotation software .
    LabelBox - they provide free versions for research. Source: about 3 years ago
  • Video box annotation tool for Google Cloud Video Intelligence autoML CSV format ?
    Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: about 3 years ago
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What are some alternatives?

When comparing FastCV Computer Vision and Labelbox, you can also consider the following products

BoofCV - BoofCV is an open source library written from scratch for real-time computer vision.

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

ImageUltimate - Fastest and easiest ASP.NET Image Resizer

Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

OpenCV - OpenCV is the world's biggest computer vision library

CloudFactory - Human-powered Data Processing for AI and Automation