Software Alternatives & Reviews

PIXTA AI VS Labeling AI

Compare PIXTA AI VS Labeling AI 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.

Labeling AI logo 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.
  • 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.

  • Labeling AI Landing page
    Landing page //
    2022-09-02

Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available. Labeling AI is an innovative tool that can save your time.

Auto labeling performs the labeling process of large datasets with minimal human intervention, required only to review the auto labeled data. Here is how it works in 3 simple steps: 1. Labeling Manually - Manually generate 100 labeled data. 2. Training Model - Train an auto labeling AI with the 100 pre-labeled data. Review and correct the results to enhance auto labeling performance. 3. Deploy the best AI - Repeat the previous step to generate 1,000, 10,000, or 100,000 auto-labeled data. Transform your auto labeling AI into an object detection AI model to perform object detection as needed.

Labeling AI offers a variety of options to easily label your data, including bounding and polygon tools.

PIXTA AI features and specs

No features have been listed yet.

Labeling AI features and specs

  • AI Powered : Yes
  • AI: Yes
  • Images: Yes
  • Video: yes

Category Popularity

0-100% (relative to PIXTA AI and Labeling AI)
AI
16 16%
84% 84
Image Annotation
11 11%
89% 89
Data Labeling
0 0%
100% 100
Computer Vision
100 100%
0% 0

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What are some alternatives?

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

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

Labelbox - Build computer vision products for the real world

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.

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

CrowdFlower - Enterprise crowdsourcing for micro-tasks

Scale - Get human tasks done with just one line of code.