Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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Imagify
Imagify is a powerful and easy-to-use WordPress plugin designed to optimize images and speed up your website. It automatically compresses, resizes, and converts images to modern formats like WebP and Avif with just one click. Created by the team behind WP Rocket, Imagify guarantees improved website loading times without sacrificing image quality. It enhances key performance metrics such as Google PageSpeed scores and Core Web Vitals. Imagify is ideal for users who want a quick and efficient way to compress large image files in bulk without any technical knowledge. Overall, it helps businesses improve SEO, user experience, and conversions by making images lighter and faster to load.
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Azure Computer Vision
Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required.
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imagor
Imagor is a fast, secure image processing server and Go library, utilizing one of the most efficient image processing libraries, libvips. It supports a wide range of image operations, including resizing, cropping, rotating, flipping, and applying filters. Imagor is designed to be stateless and can be easily deployed using Docker. It supports various storage backends such as HTTP, AWS S3, Google Cloud Storage, and the local filesystem. The server is highly configurable, allowing users to define loaders, storages, and processors to suit their specific needs. Imagor also provides support for URL-safe image operations, enabling on-the-fly image transformations through URL parameters. Security features include HMAC-based URL signing to prevent unauthorized access. It is extensible, with support for custom filters and processors. For video thumbnail generation, Imagor integrates with ffmpeg through the imagorvideo extension, allowing the extraction of video frames.
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