Content Guardian AI
Chooch
Visionify.ai
Oxagile IoT Services
Google Vision AI
Clarifai
InData Labs
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
Chooch's Generative AI-powered computer vision technology enables businesses to leverage their existing camera and image data for real-time insights, empowering more proactive decision-making. It streamlines manual visual review tasks, enhancing operational efficiency, optimizing human resource allocation, and ultimately reducing costs.
Chooch AI Vision technology identifies patterns, objects, and actions within video data and images, promptly recognizing their significance and triggering alerts to initiate further action. Using existing cameras and edge infrastructure, Chooch facilitates the deployment of AI models to analyze vast amounts of data within video streams, accomplishing pre-determined detections in a fraction of the time required by human operators.
The platform offers a comprehensive suite of services covering the entire machine learning AI workflow, including data augmentation tools, model training and hosting, edge device deployment, real-time inferencing, and intelligent analytics.
Chooch empowers organizations to rapidly deploy AI Vision across their camera infrastructure using pre-trained models tailored to various use cases, addressing a wide array of business challenges such as workplace safety, retail loss prevention, people counting, inventory management, wildfire detection, and more. With Chooch's AI-powered computer vision solutions, businesses can efficiently manage visual data at scale, detecting, understanding, and responding instantly to critical events.
Chooch Amazon RekognitionNo features have been listed yet.
Chooch's answer
Chooch’s AI Vision technology combines computer vision and language understanding to deliver generative AI for image-to-text.
Chooch's answer
Chooch was founded by Turkish-American brothers, business focused, Emrah, and technology driven, Hakan Gültekin. Emrah, a serial entrepreneur, had spent 20 years building startups and businesses from an engineering consultancy, to real estate development, to commercial and social investment consulting. He saw the world was rapidly changing and not exactly in the right direction. Despite technological advancements, there continued to be a lack of efficiency, foresight, and transparency to help companies make the right decisions, and he had a strong desire to contribute to the next wave of technological innovation to solve this. Chooch was founded at the intersection of the evolution of society and the advancement of artificial intelligence.
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 / 29 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: 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 / 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
Visionify.ai - Specialized Computer Vision solutions provider
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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