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ease
features
design
support

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Description

SentiSight SDK is an intricate application tailored for developers focused on building applications that utilize computer vision for object recognition tasks. This toolkit facilitates both manual and fully automated learning of objects, enabling users to search for recognized objects in images captured by various devices such as cameras, webcams, still images, or live video streams, all in a straightforward yet adaptable manner. SentiSight is offered as a software development kit specifically for creating object recognition systems that are compatible with Microsoft Windows environments. To utilize the SDK, users must meet certain system prerequisites: they need either an x86 (32-bit) or x86-64 (64-bit) processor, SSE2 support (with SSSE3 support being advisable), a minimum of 256 MB of available RAM, a webcam, the Microsoft .NET framework version 2.0 or later (for .NET component integration), Microsoft DirectX 9.0 or a later version (for webcam functionality), and Microsoft Visual Studio 2005 SP1 or a more recent version (to develop applications using C/C++, C#, or Visual Basic .NET). Additionally, it's important for users to note the limitations of the unregistered version, which is available for a trial period of 30 days. By adhering to these requirements, developers can effectively leverage the capabilities of SentiSight to enhance their applications with robust object recognition features.

Description

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$339.00
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Neurotechnology

Founded

1990

Country

Lithuania

Website

neurotechnology.com

Vendor Details

Company Name

Supervisely

Founded

2017

Country

United States

Website

supervise.ly/

Product Features

Computer Vision

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

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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