Software Alternatives, Accelerators & Startups

Spotify Artists VS Labelbox

Compare Spotify Artists VS Labelbox and see what are their differences

Spotify Artists logo Spotify Artists

Spotify's site for artists

Labelbox logo Labelbox

Build computer vision products for the real world
  • Spotify Artists Landing page
    Landing page //
    2023-07-25
  • 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.

Spotify Artists videos

No Spotify Artists videos yet. You could help us improve this page by suggesting one.

Add video

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 Spotify Artists and Labelbox)
Music
100 100%
0% 0
Data Labeling
0 0%
100% 100
Analytics
100 100%
0% 0
Image Annotation
0 0%
100% 100

User comments

Share your experience with using Spotify Artists and Labelbox. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Spotify Artists Reviews

We have no reviews of Spotify Artists yet.
Be the first one to post

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

Social recommendations and mentions

Based on our record, Spotify Artists should be more popular than Labelbox. It has been mentiond 12 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.

Spotify Artists mentions (12)

  • How does corpse upload to Spotify without a Label?
    You probably need to sign up for Spotify for Artists: https://artists.spotify.com/home. Source: almost 2 years ago
  • I want to upload music for other people to listen to like not local files stuff but I want to upload unreleased music from an artist that will never release these songs. what are the rules on this type of stuff?
    Check out https://artists.spotify.com/ if you want to know how it works. Source: about 2 years ago
  • do you need to have a spotify account for routenote?
    You should be able to claim your Spotify artist page by heading to https://artists.spotify.com/ and following the steps there. Source: about 2 years ago
  • Four Reasons to Get Verified on Spotify (And How to Do It).
    Both artists and managers can submit an artist to be considered for verification. First, you need to go to Spotify for Artists and click “Claim Your Profile.”. Source: over 2 years ago
  • multiple artist release but also 'and' in artist name!
    Https://artists.spotify.com/ make sure you're not signed in to this page. Click on upper right to gain access to new artist page. Source: over 2 years ago
View more

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

What are some alternatives?

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

UnitedMasters - Creator tools for artists to get smart, get fans, get paid

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

Level Music - A new platform for independent artists, everywhere. In beta.

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

Spotify - Map shows when two people play same song at same time

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