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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

WineEngine leverages the cutting-edge image recognition capabilities of TinEye to effectively analyze photographs taken with users' mobile devices. This innovative service employs advanced image recognition techniques and neural networks to address typical challenges found in user-uploaded images, such as low resolution, poor lighting conditions, color inaccuracies, misaligned framing, awkward angles, and blurriness. Additionally, WineEngine is specifically designed to identify wine vintages present on labels when they are available. It boasts a high success rate, even with images of labels that are of low quality. The service automatically identifies and sharpens the focus on the label area within any given image, surpassing traditional OCR methods in label reading accuracy. It operates in real-time, capable of searching through extensive collections of wine labels numbering in the millions. By merging TinEye's advanced image recognition technology with sophisticated neural networks, WineEngine ensures quick and trustworthy identification of wine, beer, and spirit labels, making it a valuable tool for enthusiasts and collectors alike. Ultimately, WineEngine not only enhances user experience but also streamlines the identification process for various beverages.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

TinEye

Integrations

TinEye

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$200/month
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

Supervisely

Founded

2017

Country

United States

Website

supervise.ly/

Vendor Details

Company Name

TinEye

Country

Canada

Website

services.tineye.com/WineEngine

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

Product Features

Alternatives

Alternatives

The Wine Hub Reviews

The Wine Hub

Wine Owners