Software Alternatives & Reviews

Labelbox VS Flagship.io

Compare Labelbox VS Flagship.io and see what are their differences

Labelbox logo Labelbox

Build computer vision products for the real world

Flagship.io logo Flagship.io

Feature Flag as a Service - Separate code deployments from feature releases to speed up development cycles, mitigate risks and release safely.
  • 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.

  • Flagship.io Landing page
    Landing page //
    2023-05-09

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship.io, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship.io, you can:

  • Switch features on or off through remote config.
  • Separate code deployments from future releases.
  • Automatically roll-out your features gradually.
  • Roll back any feature should any issues arise.
  • Segment users by granting access to a feature based on certain user attributes.
  • Carry out A/B tests by easily assigning feature variations to groups of users.

Labelbox features and specs

No features have been listed yet.

Flagship.io features and specs

  • API: Yes
  • SDKs: Yes
  • Targeting Segments: Yes
  • Dashboards: Yes
  • Analytics and Reporting: Yes
  • Role Based Access Control: Yes
  • Data Import/Export: Yes
  • Free Trial: Yes
  • GDPR Compliant: Yes

Labelbox videos

Review App : Labelbox

More videos:

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

Flagship.io videos

Video Feature Flag and Experimentation

Category Popularity

0-100% (relative to Labelbox and Flagship.io)
Data Labeling
100 100%
0% 0
Feature Flags
0 0%
100% 100
Image Annotation
100 100%
0% 0
Release Management
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 Labelbox and Flagship.io

Labelbox Reviews

  1. 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

Flagship.io Reviews

We have no reviews of Flagship.io yet.
Be the first one to post

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.

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 1 year 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: over 1 year 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: almost 2 years ago
  • [D] Any recommendations for image annotation software .
    LabelBox - they provide free versions for research. Source: almost 2 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 2 years ago
View more

Flagship.io mentions (0)

We have not tracked any mentions of Flagship.io yet. Tracking of Flagship.io recommendations started around Jul 2021.

What are some alternatives?

When comparing Labelbox and Flagship.io, you can also consider the following products

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

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

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

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

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

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.