Design Models with Computer Vision
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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
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Open Source
Smart Annotation Tools
Pre-trained Model Zoo : Reduced
Synthetic Data Generation
Active Learning
Analytics
Training on cloud Provider
Project Management
Slack Support
Community
Smart Annotation Tools
Pre-trained Model Zoo : Reduced
Active Learning (coming soon)
Analytics
Training on cloud Provider (coming soon)
Project Management : 3 users /Private Project, Unlimited /Public Project
Slack Support + In-app chat
Business
Includes features of Community plan, plus
Synthetic Data Generation : €0.001 per data
Project Management : Unlimited/ Private Project
24/7 Support
Enterprise
Includes features of Business plan, plus
Synthetic Data Generation
Active Learning
Training on cloud Provider
Project Management
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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 .
9.3/10
Spot Score
Capgemini
nvidia
OVH
Picsell.ia
Amazon Personalize
Picsell.ia
OpenCV
Picsell.ia
Datature
Picsell.ia
Commerce.AI
Picsell.ia
DVC Studio
Picsell.ia
Cord
Customer Service
Business Hours
Online
Location
Paris, France
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
