Software Alternatives & Reviews

PIXTA AI VS Labelbox

Compare PIXTA AI VS Labelbox and see what are their differences

PIXTA AI logo PIXTA AI

Empower AI Models with Better Data by provide Japanese-quality data collection & data annotation services for scaling your Computer Vision projects.

Labelbox logo Labelbox

Build computer vision products for the real world
  • PIXTA AI Landing page
    Landing page //
    2023-06-01

1. Data Collection service

PIXTA is the largest platform of visual materials in the Asia Pacific region with 100M+ featured images and videos, offering fully-managed services, high quality contents and data, and powerful tools for businesses & organizations to enable their creative and machine learning projects. PIXTA AI helps to empower AI models by an end-to-end data preparation service with quality, scalability & compliance.

2. Data Annotation Service

As a team of experienced Data Scientist & AI engineer, PIXTA AI prioritize ground-truth data & high quality annotated datasets in building high perfomance AI models. With data centric approach & human-in-the-loop service model, we provide fully-managed annotation service at high accuracy, high quality & flexible scalability to empower AI projects.

Annotation & Labelling services from PIXTA AI cover any project requirements: * Attribute & Classification * Bounding boxes * Key points/Landmarks * Polygons * Cuboids * Lines and splines * Instance segmentation * Semantic segmentation ...

Our dedicated team ensure quality at scale with full compliance by leading AI experts.

  • 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.

PIXTA AI 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 PIXTA AI and Labelbox)
AI
7 7%
93% 93
Data Labeling
0 0%
100% 100
Image Annotation
4 4%
96% 96
Computer Vision
100 100%
0% 0

User comments

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Reviews

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

PIXTA AI Reviews

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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, 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.

PIXTA AI mentions (0)

We have not tracked any mentions of PIXTA AI yet. Tracking of PIXTA AI recommendations started around Nov 2022.

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: 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
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What are some alternatives?

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

Labeling AI - Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.

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

Dataloop AI - Enterprise grade data platform for AI systems in development and in production.

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

Datatang.ai - Datatang provides off-the-shelf AI training datasets, on-demand data collection & annotation solutions that power the world's most innovative artificial intelligence.

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