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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Recogni has introduced groundbreaking advancements in perception processing! Their innovative Vision Cognition Module (VCM), which utilizes a specially designed ASIC, efficiently operates deep-learning networks with remarkable effectiveness. This tailored solution empowers vehicles to identify tiny objects from far away while utilizing very little battery power. Integrating both real-world and synthetic data is crucial for achieving top-tier perception capabilities. A significant advantage of incorporating synthetic data is the enhancement and augmentation of real-world data, which leads to improved performance. The VCM boasts a combination of Peta-Op level performance, the lowest latency and jitter in the industry, and exceptional power efficiency, making it a game changer in the field. Such advancements not only push the boundaries of technology but also pave the way for safer and more reliable autonomous driving experiences.

Description

A platform designed for ML engineers that generates synthetic data, facilitating the creation of more advanced AI models. With straightforward APIs, users can quickly generate a wide variety of perfectly-labeled, photorealistic images as needed. This highly scalable, cloud-based system can produce millions of accurately labeled images, allowing for innovative data-centric strategies that improve model performance. The platform offers an extensive range of pixel-perfect labels, including segmentation maps, dense 2D and 3D landmarks, depth maps, and surface normals, among others. This capability enables rapid design, testing, and refinement of products prior to hardware implementation. Additionally, it allows for prototyping with various imaging techniques, camera positions, and lens types to fine-tune system performance. By minimizing biases linked to imbalanced datasets while ensuring privacy, the platform promotes fair representation across diverse identities, facial features, poses, camera angles, lighting conditions, and more. Collaborating with leading customers across various applications, our platform continues to push the boundaries of AI development. Ultimately, it serves as a pivotal resource for engineers seeking to enhance their models and innovate in the field.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Recogni

Founded

2017

Country

United States

Website

recogni.com

Vendor Details

Company Name

Synthesis AI

Country

United States

Website

synthesis.ai/

Product Features

Computer Vision

Blob Detection & Analysis Yes 
Building Tools Yes 
Image Processing Yes 
Multiple Image Type Support Yes 
Reporting / Analytics Integration Yes 
Smart Camera Integration Yes 

Product Features

Computer Vision

Blob Detection & Analysis No 
Building Tools No 
Image Processing No 
Multiple Image Type Support No 
Reporting / Analytics Integration No 
Smart Camera Integration No 

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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