Content Guardian AI
Amazon Rekognition
Google Vision AI
Kairos
OpenCV
Microsoft Computer Vision API
Trueface Visionbox
Social Mapper
Luxand.cloud
Clarifai
Google Vision AI
OpenCV
Kairos
Keras
Microsoft Computer Vision API
Trueface Visionbox
DeepPy
Clarifai is a leading deep learning AI platform for computer vision, natural language processing and automatic speech recognition. We help enterprises and public sector organizations transform unstructured images, video, text and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own. Our technology is used across many industries including E-commerce, Defense, Retail, Manufacturing, and more.
Our platform is powered by state-of-the-art machine learning and comes with the broadest repository of pre-trained out-of-the-box AI models to search, sort, and organize visual, textual, and audio data and help companies build turnkey AI solutions. Our pre-trained models can detect explicit content, faces, embedded objects and text within images and video as well as predict various attributes such as celebrities, food items, textures, colors, and more. An intuitive, feature-rich user interface makes it easy to use for all skill levels. We offer a free API to researchers and developers to get started building their own models in the efforts of using AI to help the greater good.
Amazon Rekognition| Categories |
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|---|---|
| Website | aws.amazon.com |
| Pricing URL | - |
| Details $ | - |
| Platforms | |
| Release Date | - |
Clarifai| Categories |
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|---|---|
| Website | clarifai.com |
| Pricing URL | Official Clarifai Pricing |
| Details $ | freemium |
| Platforms | |
| Release Date | 2013-11-20 |
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Based on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 times since March 2021. 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.
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 / 21 days 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: 9 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 / 12 months 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
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Kairos - Facial recognition & mood detection API
OpenCV - OpenCV is the world's biggest computer vision library
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Trueface Visionbox - Trueface Visionbox is a platform that offers vision solutions to the world by converting the camera into actionable information, and users can easily learn about anything through it.