Computer vision (CV) is a rapidly growing field that deals with interpreting, modifying, and analyzing digital images and videos.
With cloud computing, computer vision algorithms are accessible through APIs, this can open new horizons to computer vision applications and developers who need to use a well trained computer vision models that can increase developers’ productivity and model’s accuracy
Google Vision API and AutoML Vision
Using Google CVaaS, you can run models from AutoML Vision or use API models trained with AutoML Vision to detect emotion, read text, and more.
What can you do with it:
Detect objects automatically
Detect and understand printed and handwritten text
Detect explicit content
Detect faces
Vision product search
Identify popular places and product logos
Moderate content
You can read More on Google Compute Vision as a Service here
Microsoft Azure Cognitive Service
Cognitive Services brings AI within reach of every developer—without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps. Enable developers of all skill levels to easily add AI capabilities to their apps with modern application development
What can you do with it:
Text extraction (OCR)
Image understanding
Spatial analysis
Detect faces
Vision product search
Identify popular places and product logos
Moderate content
Read more about Microsoft Azure Cognitive API service here
Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. You simply need to supply images of objects or scenes you want to identify, and the service handles the rest.
What can you do with it:
comprehensive labeling platform
Content moderation
Text detection
Face, detection and verification
Personal Protective Equipment (PPE) detection
Read more about Amazon Rekognition service here
Intenseye
Intenseye is a rapidly growing technology company that is backed by world-class venture capital firms focused on enterprise software and artificial intelligence. see less
What can you do with it:
Analyze visual content
Recognize +80 objects with state of art accuracy
Object tracking
Support in videos and live stream IP cameras
You can learn more about Intenseye API docs here
