CustomVision AI is a model customization tool that works with computer vision models. To begin with, you can upload the images, and they will train your custom models. As a result, CustomVision will understand what your computer vision models are all about.�
One of the best things is that you can use the REST API to tag the images. This means you can create a seamless user experience and optimize the manufacturing processes. In addition, you can enhance the digital marketing campaigns.
CustomVision AI Review Summary Performance Score
A+
Customization Quality
Advanced customization of computer vision models
Interface
Intuitive and beginner-friendly
AI Technology
Natural Language Processing (NLP)
Purpose of Tool
Customize computer vision models for different use cases
Compatibility
Web-based Interface, REST API
Pricing
A free version is available. One paid plan is available.
Who is Using CustomVision AI?
- Developers and Engineers: Developers can quickly build and test custom vision models to integrate into their applications. Also, they can create solutions for object detection and image classification.
- Data Scientists: They can accelerate the model development process. It will help them focus on data preparation and model fine-tuning.
- Machine Learning Engineers: They can easily experiment with different model architectures and hyper-parameters to optimize performance.
CustomVision AI Key Features Customize Models
Re-Work Models
Flexible Deployment
Automatic Image Tagging
High True Yield
Enterprise-Grade Security
Image Labeling
Custom Widgets
Learning Resources
REST API
Supports JavaScript and HTML
Model Documentation
Is CustomVision AI Free?
Yes, CustomVision AI is available for free if you are okay with 2 transactions per second. You can get 5,000 training images and 10,000 predictions. In addition, one paid plan is available.
Standard Plan
- Costs $2 per 1,000 transactions�
- Costs $10 for one compute hour�
- Costs $0.70 for 1,000 images
- 10 transactions per second
CustomVision AI Pros & Cons
Easy customization of computer vision models.
Automatic labeling of images.
Ability to train the classifier.
REST API for easier integration.
Enterprise-grade security for data and training models.
Intuitive development of models.
Not suitable for non-technical users.
