Software Alternatives, Accelerators & Startups

Roboflow VS Labelbox

Compare Roboflow VS Labelbox and see what are their differences

Roboflow logo Roboflow

Eliminating your boilerplate computer vision code

Labelbox logo Labelbox

Build computer vision products for the real world
  • Roboflow Landing page
    Landing page //
    2023-08-18
  • 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.

Roboflow features and specs

  • Ease of Use
    Roboflow provides an intuitive user interface that simplifies the process of uploading, annotating, and managing datasets, making it accessible even for those with limited technical expertise.
  • Comprehensive Annotation Tools
    Roboflow offers a wide range of annotation tools, supporting different types of tasks like object detection, classification, and segmentation, which enhances its flexibility for various projects.
  • Cloud-Based Platform
    As a cloud-based solution, Roboflow allows users to access their projects and datasets from anywhere, promoting collaborative work settings and easy sharing.
  • Pre-trained Model Integration
    Roboflow integrates with pre-trained models which can accelerate the development process and improve model accuracy by leveraging existing feature recognition capabilities.

Possible disadvantages of Roboflow

  • Cost
    While Roboflow has free tiers, some advanced features require a paid subscription, which could be a barrier for individual developers or small teams with limited budgets.
  • Learning Curve for Advanced Features
    Although generally user-friendly, mastering its more advanced features might require additional time and effort, especially for users without a background in machine learning.
  • Dependency on Internet Connectivity
    As a cloud-based service, Roboflow requires a stable internet connection, which might limit its usability in environments with low connectivity.
  • Privacy Concerns
    Uploading proprietary or sensitive datasets to a third-party cloud service can pose privacy risks and may concern users handling confidential data.

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.

Analysis of Labelbox

Overall verdict

  • Labelbox is considered a good tool for data labeling, particularly in the context of machine learning and artificial intelligence projects.

Why this product is good

  • User-Friendly Interface: Labelbox offers an intuitive interface that facilitates easy navigation and efficient labeling, making it accessible for both experienced and new users.
  • Customization: It provides customizable workflows that can adapt to specific project needs, enhancing productivity and flexibility.
  • Collaboration Features: The platform supports collaboration among team members, allowing for seamless communication and efficient coordination.
  • Scalability: Labelbox is designed to handle large datasets, making it suitable for projects of varying sizes, including enterprise-level operations.
  • Integration Capabilities: The tool integrates well with other data management and machine learning frameworks, allowing for streamlined workflows.

Recommended for

  • Organizations involved in machine learning and AI development, especially those focusing on image and video data.
  • Data science teams needing a robust labeling tool that can handle large volumes of data efficiently.
  • Companies seeking a scalable solution for collaborative data annotation projects.
  • Developers and researchers who require customizable workflows and integrations with other ML tools.

Roboflow videos

OpenCV Course Roboflow Organize

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 Roboflow and Labelbox)
AI
35 35%
65% 65
Data Labeling
0 0%
100% 100
Developer 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 Roboflow and Labelbox

Roboflow Reviews

We have no reviews of Roboflow yet.
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Labelbox Reviews

  1. Sharon
    ยท manager at Mcormicki ยท
    Unreliable

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

    ๐Ÿ Competitors: Diffgram
    ๐Ÿ‘Ž 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 โ€“ there is no playback option.
Source: innotescus.io

Social recommendations and mentions

Based on our record, Roboflow should be more popular than Labelbox. It has been mentiond 38 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.

Roboflow mentions (38)

  • Computer Vision Made Simple with ReductStore and Roboflow
    Computer vision is transforming industries by automating decision making based on visual data. From facial recognition to autonomous driving, the need for efficient computer vision solutions is growing rapidly. This article explores how Roboflow combined with ReductStore, a time-series object store optimized for managing continuous data streams, can improve computer vision applications. ReductStore is designed... - Source: dev.to / about 1 year ago
  • Ask HN: Who is hiring? (March 2024)
    Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer... - Source: Hacker News / over 1 year ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Roboflow - create and deploy a custom computer vision model with no prior machine learning experience required. The free tier includes up to 1,000 free source images. - Source: dev.to / over 1 year ago
  • Ask HN: Who is hiring? (February 2024)
    Roboflow | Open Source Software Engineer, Web Designer / Developer, and more. | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0224 [2]: https://roboflow.com/universe?ref=whoishiring0224 [4]: https://github.com/roboflow/supervision [6]: https://www.youtube.com/@Roboflow. - Source: Hacker News / over 1 year ago
  • [HIRING] Image annotators (~500 image annotations needed)
    The annotations will be completed on the [Roboflow](https://roboflow.com) platform. The compensation for this project is $0.40 per image, totaling $200 for the completion of all 900 images. Source: over 2 years ago
View more

Labelbox mentions (9)

  • Best Practices for Ensuring AI Agent Performance and Reliability
    Use tools like Weights & Biases, Labelbox, or Maximโ€™s data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / 2 months ago
  • 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 / about 3 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 Iโ€™m honestly still very confused. Any help... Source: about 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: over 3 years ago
  • [D] Any recommendations for image annotation software .
    LabelBox - they provide free versions for research. Source: over 3 years ago
View more

What are some alternatives?

When comparing Roboflow and Labelbox, you can also consider the following products

Avo - Prevent human errors when implementing analytics

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

Deepnote - A collaboration platform for data scientists

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

VisionPlatform AI - Build and deploy your own AI computer vision system on our vision platform. No coding, AI vision, under 10 minutes.

CloudFactory - Human-powered Data Processing for AI and Automation