CloudSight
CloudSight is a visual recognition API that allows developers to build image recognition into their applications. It provides pre-trained models for identifying objects, scenes, faces and more in images.
CloudSight: Visual Recognition API
CloudSight is a visual recognition API that allows developers to build image recognition into their applications. It provides pre-trained models for identifying objects, scenes, faces and more in images.
What is CloudSight?
CloudSight is a cloud-based visual recognition API that allows developers to easily integrate powerful image recognition capabilities into their applications. It is developed and maintained by CloudSight.ai, a technology company focused on computer vision.
The key capabilities of CloudSight include:
- Object recognition - Identify 1000+ common objects in images like people, products, animals, and more.
- Scene recognition - Understand the setting and environment of an image, e.g. office, beach, street, etc.
- Facial detection and recognition - Detect human faces in images and extract attributes like gender, age range, emotions.
- Text recognition - Read and extract text found within images.
- Custom models - Build and train custom computer vision models tailored for specific use cases.
CloudSight provides simple REST APIs and SDKs for most major programming languages making integration easy. It offers high accuracy models that keep improving as more data is accumulated. Usage is metered based on monthly active users and transactions.
In summary, CloudSight provides a powerful off-the-shelf image recognition capability that allows developers to quickly build computer vision into their apps and solutions.
CloudSight Features
Features
- Image recognition API
- Pre-trained models for object, scene, face recognition
- REST API for uploading images and receiving labels
- Supports multiple programming languages (Python, Java, JavaScript, etc)
- Auto-tagging of images
- Ability to train custom models
Pricing
- Freemium
- Subscription-Based
Pros
Easy to integrate into apps
Large catalog of pre-trained models
Scalable
No need to develop own image recognition models
Can be customized via training custom models
Cons
Relies on cloud connectivity
Limited free tier
Less flexible than developing own models
Accuracy depends on pre-trained models
Official Links
Reviews & Ratings
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