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Based on our record, Amazon Rekognition should be more popular than ML Kit (by Google). It has been mentiond 38 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.
For those of you who is looking for more detailed information, you can visit the AWS Rekognition Overview and check its Key Features. - Source: dev.to / 5 months ago
For example, Google Cloud Vision offers a range of APIs for natural language processing, image recognition, and speech-to-text transformation. Microsoft Azure AI Vision supplies powerful tools for analyzing images and videos. API4AI is another platform that provides various AI functionalities such as face recognition, image classification, and document processing. Amazon Rekognition excels in image and video... - Source: dev.to / 10 months ago
Amazon Web Services (AWS) provides a robust array of image processing services through Amazon Rekognition. Amazon Rekognition is a scalable and user-friendly service offering capabilities such as image and video analysis. It can identify objects, people, text, scenes, and activities, and can also detect inappropriate content. Rekognition supports facial analysis and facial search, making it useful for user... - Source: dev.to / 10 months ago
AWS delivers powerful image processing capabilities via Amazon Rekognition and SageMaker. - Source: dev.to / 11 months ago
Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos. - Source: dev.to / 11 months ago
I was trying to decide on some Flutter side project to exercise some organizations and concepts from the framework and since AI is at hype I did some research and found out about Google Machine Learning kit which is a set of machine learning tools for different tasks such as face detection, text recognition, document digitalization, among other features (you should really check the link above). They're kinda plug... - Source: dev.to / 12 months ago
The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google. Source: about 2 years ago
Assuming you're talking about leveraging the device's the device's Tensor Processing unit for machine learning then there then you're in luck because Google designed the TPU to work extremely well with the machine learning solutions developed by Google such as easy to use SDKs, robust runtimes and APIs ( e.g. - which you probably aren't going to need to touch). If you're a researcher there's plenty of lower level... Source: over 2 years ago
Google's ML Kit https://developers.google.com/ml-kit. Source: almost 3 years ago
Thanks. The name of the ML package is "ML Kit". This one: https://developers.google.com/ml-kit. Source: almost 3 years ago
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
ML Showcase - A curated collection of machine learning projects
Clarifai - The World's AI
ZIR Semantic Search - An ML-powered cloud platform for text search
Kairos - Facial recognition & mood detection API
ZXing - Barcode Scanner for Android