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Picsell.ia - Machine Learning Software

Picsell.ia

Empower your vision with Picsell.ia.

Overview of Picsell.ia

What is Picsell.ia ?

Picsell.ia is an advanced Computer Vision tool that allows users to develop active learning models within an assisted labeling environment. Teams can empirically test various model architectures and share the outcomes make to the public. Individuals, and businesses of all ... Read More

API available

Picsell.ia Platforms

  • Browser Based (Cloud)

Picsell.ia Customer Type

  • Large Enterprises
  • Medium Business
  • Small Business

Pricing of Picsell.ia

  • Freemium,
  • Subscription

Screenshot of the Picsell.ia Pricing Page (Click on the image to visit Picsell.ia 's Pricing page)

Disclaimer: Pricing information for Picsell.ia is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .

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Picsell.ia Customers

Capgemini-logo

Capgemini

nvidia-logo

nvidia

OVH-logo

OVH

Picsell.ia FAQs

Here's a list of the best alternatives for Picsell.ia
Yes, Picsell.ia provides API.
No, Picsell.ia doesn’t provide mobile app.
Picsell.ia is located in Paris, France
Picsell.ia offers Freemium, Subscription pricing models
We don't have information regarding integrations of the Picsell.ia as of now.

Picsell.ia Support

Customer Service

Business Hours

Online

Location

Paris, France

Reach out to Picsell.ia Social channels

Read More about Picsell.ia

Picsell.ia is an advanced Computer Vision tool that allows users to develop active learning models within an assisted labeling environment. Teams can empirically test various model architectures and share the outcomes make to the public. Individuals, and businesses of all sizes can leverage this powerful software for their projects.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta