Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
Description
Auger.AI delivers the most comprehensive solution for maintaining the accuracy of machine learning models. Our MLRAM tool (Machine Learning Review and Monitoring) guarantees that your models maintain their accuracy over time. It even assesses the return on investment for your predictive models! MLRAM is compatible with any machine learning technology stack. If your ML system lifecycle lacks ongoing measurement of model accuracy, you could be forfeiting profits due to erroneous predictions. Additionally, frequently retraining models can be costly and may not resolve issues caused by concept drift. MLRAM offers significant benefits for both data scientists and business professionals, featuring tools such as accuracy visualization graphs, performance and accuracy notifications, anomaly detection, and automated optimized retraining. Integrating your predictive model with MLRAM requires just a single line of code, making the process seamless. We also provide a complimentary one-month trial of MLRAM for eligible users. Ultimately, Auger.AI stands out as the most precise AutoML platform available, ensuring that your machine learning initiatives are both effective and efficient.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
AWS AI Services
Yes
AWS App Mesh
Yes
Amazon Augmented AI (A2I)
Yes
BotCore
Yes
Descope
Yes
Google Cloud Platform
No
Microsoft Azure
No
Orange Logic OrangeDAM
Yes
Qrvey
Yes
Integrations
Amazon Web Services (AWS)
Yes
AWS AI Services
No
AWS App Mesh
No
Amazon Augmented AI (A2I)
No
BotCore
No
Descope
No
Google Cloud Platform
Yes
Microsoft Azure
Yes
Orange Logic OrangeDAM
No
Qrvey
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$200 per month
Free Trial
Yes
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
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
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/rekognition/
Vendor Details
Company Name
Auger.AI
Founded
2019
Country
United States
Website
auger.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
Content Moderation
Artificial Intelligence
No
Audio Moderation
No
Brand Moderation
No
Comment Moderation
No
Customizable Filters
No
Image Moderation
No
Moderation by Humans
No
Reporting / Analytics
No
Social Media Moderation
No
User-Generated Content (UGC) Moderation
No
Video Moderation
No
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
OCR
Batch Processing
No
Convert to PDF
No
ID Scanning
No
Image Pre-processing
No
Indexing
No
Metadata Extraction
No
Multi-Language
No
Multiple Output Formats
No
Text Editor
No
Zone Selection Tool
No
People Counting
API
No
Anonymous Counting
No
Benchmarking
No
Car Counting
No
Conversion Tracking
No
Data Export
No
Events Statistics
No
Heatmaps
No
Mood/Age/Gender Recognition
No
Motion Detection
No
Reporting / Analytics
No
Retail Counting
No
Staff Exclusion
No
WiFi Tracking
No
Zone / Area Monitoring
No
Session Replay
Eye Tracking
No
Form Analytics
No
Heatmaps
No
Mouse Tracking
No
Optimization Tools
No
Session Recording
No
Surveys
No
User Experience Analysis
No
User Feedback
No
Visitor Segmentation
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No