Visionify.ai
Chooch
Oxagile IoT Services
InData Labs
Addepto
Clarifai
Google Vision AI
Status Device Cloud
Amazon Rekognition
Clarifai
Google Vision AI
OpenCV
Kairos
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
We build full-stack Computer Vision Solutions that are Robust, enterprise-ready solutions that can scale with customer needs. Prebuilt models for many industry use-cases.t
We are making it easier to build and deploy computer vision technology. To test-drive a demo or learn more about our machine learning APIs and SDKs, request a free consultation. We would love to hear from you!
Visionify.ai Amazon RekognitionNo features have been listed yet.
No Visionify.ai videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon Rekognition seems to be a lot more popular than Visionify.ai. While we know about 33 links to Amazon Rekognition, we've tracked only 2 mentions of Visionify.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Visionify.ai has both pre-trained models and the expertise to build custom solutions for its customers. Talk to us about your specific use case today! Source: almost 2 years ago
Let Visionify.ai help you improve your manufacturing efficiencies with Smart Manufacturing Solutions. https://visionify.ai/factory-vision-solutions/ Call us today at 720-449-1124 for a demo today! Source: about 2 years ago
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 9 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / almost 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
Chooch - AI Vision for helping businesses create smart spaces
Clarifai - The World's AI
Oxagile IoT Services - Leverage our IT consulting services to foster enterprise-grade optimization, accelerate digital transformation, and drive exceptional customer value.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
InData Labs - InData Labs provides data science consulting, custom AI-powered software development, and data science training.
OpenCV - OpenCV is the world's biggest computer vision library