Image Recognition Software

Clarifai is an image recognition software that offers an edge-to-edge artificial intelligence lifecycle suite for unstructured data and deep learning that transfigures and structures video, text, and images into structured data. It enables the users to create and edit their models using user-friendly features that make it easier for their businesses to build custom artificial intelligence applications. Clarifai offers tools to significantly search for topics, peoples, places, and things in the video, text, and images fastly and more precisely than humans. It is a great solution for enterprises, scientists, researchers, and developers as it comprises automatic speech recognition and natural language processing features. Moreover, they can utilize AI to determine what is in their unstructured data. The software has the ability to extract data about the physical world and outsource its data labeling task to a team of seasoned artificial data researchers and analysts. Clarifai tool is deployed across many e-commerce Industries, retail software, and even manufacturing industries for scene detection, explicit content detection, facial analysis, and image classification. Clarify software follows the freemium subscription and quotation-based pricing strategy.

Amazon Rekognition is a cloud-based image recognition platform, offering computer vision technology that provides software as a service. It allows you to easily integrate picture and video analysis into your apps using proven, highly scalable deep learning technology that doesn't require any machine learning experience. With Amazon Rekognition, users can easily recognize objects, people, text, settings, and actions, as well as to detect any improper information in photos and videos. You can also use a model to categorize specific machine parts on your manufacturing line or to detect sick plants. All you have to do is provide photos of the items or situations you wish to identify, and the platform will take care of the rest. It additionally assists the user in distinguishing possibly risky or unseemly content across both picture and video resources and permits you to precisely control what you need to permit depending on your necessities. The software offers a free trial that allows you to analyze 5,000 pictures each month and save 1,000 pieces of face metadata per month.

OpenCV is an open-source tool that comprises Java, C++, C, and Python interfaces that supports Linux, Mac, Android, Windows, iOS, and other OS. It offers smart tools to the users for object detection, facial recognition, image classification, and explicit content detection. OpenCV is an ideal machine learning and computer vision software library explicitly designed for computational productivity and with a keen focus on real-time applications. Moreover, the algorithms can be deployed to recognize and detect faces, track camera movements, discover objects, categorize human actions in videos, extract 3D models of objects, track moving objects, stitch pictures together to deliver a high-resolution picture of a whole scenario. It further delivers 3D point clouds from a stereo camera, follows eye movements, discovers the same images from an image dataset, extracts red eyes from pictures taken using flash, and recognizes seen and creates markers to cover it with augmented reality. OpenCV follows the open-source pricing strategy and is completely free to use. It additionally offers support for Android, Windows, and Mac for smooth functioning of operations.

Luxand FaceSDK is used for face-based biometric identification functionality and face recognition. It is mainly used to identify and authenticate users with the help of webcams, looking for matching faces in photo databases. The application can also detect facial features in graphic editors automatically, and use still images and video streams to detect faces in real-time. Luxand FaceSDK provides surveillance, helps to control time and attendance systems and builds secure identification. This software can be used for purposes like time and attendance control, and enhancing access control with facial recognition. It doesn’t require any PIN entry or secure keys, thus providing secure authentication with the help of a very reliable biometric identification which is based on live video recognition. Luxand is used by the entertainment industry to create products and services and apply a wide range of facial effects. It even helps to build animated 3D models of human faces based on a single still image. Luxand FaceSDK implements a self-learning AI video identification system that automatically recognizes and tags all faces encountered in a video stream.

Spott is a well-known AdTech and e-Commerce firm, developed specifically for online brands and e-commerce websites to assist them in increasing their conversion rates with engaging and innovative content. It helps the user in creating dynamic content based on the recommendations of over 5,000 Spott members to make your product image all the more sellable. Spott enables you to create your unique content as well as the goal you want to achieve. With this platform, you can make use of the best practices from your colleagues to get the greatest outcomes from any content asset you have. The platform offers great flexibility that can be used to make any content type interactive, thereby maximizing the value of interaction. It helps you in automating your database for creating shoppable images for your website or store with very small code segments. Users can additionally monitor their websites’ analytics like visitor count and growth rate with Spott’s analysis report. Spott provides a free trial version for testing its premium features and its monthly price starts at $60 billed yearly.

Introducing Roboflow, the game-changing platform that brings computer vision within the reach of all developers, regardless of their skillset or experience. If ready to unleash the infinite possibilities of artificial intelligence and revolutionize the way to build applications? Look no further! With Roboflow, have simplified and streamlined the entire process, allowing to focus on what truly matters – innovation and creativity. This powerful and intuitive platform empowers professionals to effortlessly develop their very own computer vision applications. With just a few clicks, can now unleash the full potential of machine learning, delivering remarkable accuracy and precision that will leave competitors in awe. Join the countless professionals who have already harnessed the power of Roboflow and witnessed the transformative impact on their work. Experience the future today and dive into the world of limitless possibilities, with Roboflow by side. Empower yourself and elevate projects to new heights. Get started with Roboflow now and unlock a world of endless potential.

ShelfWatch is an adequate image recognition platform helping out businesses with their sales force productivity enhancement, improvement of shelf condition-based insights and incremental sales. The particular software assures >95% SKU level based recognition accuracy, actionable real-time updates to act upon, one-time image training, scoring benefits and seamless integration with pre-existing tools alike. The platform conducts a detailed calculation of individual KPIs that can be personalised as per need to provide a comprehensive picture of user-specific store execution. Inbuilt metrics goes as Planogram Compliance, Share of Shelf, POSM Compliance, Price Tag Compliance, On-Shelf Availability along with End Caps and Gondola Compliance. The platform stores cookies on the user’s computer, that can be used to provide a personalised experience. To provide exclusive security, none of the user-specific information is tracked down by ShelfWatch. User-specific names and contact numbers collected by the software are protected under stringent security policies, eliminating out all potential chances of theft, disclosure, unauthorised access, modification and copying.

SentiSight.ai is a powerful image recognition platform that enables users to build, train and use machine learning models to detect objects, classify images, and recognize patterns. This platform is powered by state-of-the-art deep learning algorithms, which are designed to recognize images quickly and accurately. The image recognition models available on SentiSight.ai can be trained using a range of datasets, including images, videos, and text. The platform also offers users the ability to customize and optimize the models to suit their particular needs. Additionally, SentiSight.ai provides users with an intuitive user interface, enabling them to easily manage, train and deploy their models.

Introducing Landing AI – the groundbreaking solution that takes the complexity out of building computer vision systems. Say goodbye to hours of tedious coding and programming, and say hello to a world where creating cutting-edge technology is as simple as having a conversation.Landing AI puts the power in hands, empowering the customer to create jaw-dropping computer vision systems in mere minutes. This intuitive interface guides through the process, eliminating any guesswork and providing with a seamless experience.With Landing AI, the possibilities are endless. Were have made it the mission to democratize AI, ensuring that anyone, regardless of their technical background, can harness the power of computer vision.Whether customers in the field of healthcare, manufacturing, retail, or any other industry, Landing AI has the tools that need to revolutionize work. Unlock new insights, automate processes, and stay one step ahead of the competition with this state-of-the-art computer vision technology.Join the ranks of forward-thinking professionals who are already leveraging the power of Landing AI to transform their businesses. Discover the possibilities that await and embrace a future where innovation knows no bounds. Don't let complex coding hold back – take the leap and experience the magic of Landing AI today.

Anyline Enhance workflows and business processes with fast, efficient, and accurate mobile data capture. It Empowers the users, customers, and workforce to securely digitize data with any mobile device. Integrate the Anyline SDK for mobile scanning into any app or website with ease. Anyline SDK is natively developed for iOS, Android, and UWP, but also supports common integration frameworks such as Xamarin, Cordova, React Native, Flutter, and many more.

Microsoft Computer Vision API is a comprehensive digital media analysis service that helps developers by analyzing content available within images and video files. The API platform can be used to boost content discoverability and analysis part in real-time. It can extract content from printed or handwritten text present in documents and images, irrespective of the available languages and writing styles. To facilitate proper analysis of images, Computer Vision API comes loaded with more than 10,000 objects and pre-scheduled concepts that can be found in a particular image. In order to eliminate unnecessary third-party intrusion and privacy violations, Microsoft Computer Vision API deletes users' images and videos once completed with the processing part. Moreover, videos analyzed using the same are stored within the user’s own device, eliminating unnecessary hassles. Computer Vision API can also be used to streamline digital asset management and robotic process automation functionalities.

Peltarion Platform wants to share this with as many people as possible. That's why they have created our Peltarion Platform - a place for a user to build user own AI models, to make things faster and better.

Ximilar initially started as a dedicated solution for agencies to manage stock photography. It later expanded to the e-commerce industry and added many intuitive features such as Image Recognition, Image Similarity, Visual Fashion Search, Fashion Tagging, Generic Tagging, and Custom Solutions. The Image Recognition feature can scan product images and classify them into different categories, while also enabling users to tag and detect their own labels. Customers can even find images similar to certain products to easily find the images they want. And with the visual search option, they can locate and match fashion products in real-time. And to make usage more productive, Ximilar enables automated tagging and categorizing of generic images. This is complemented by the Fashion Tagging feature that can even recognize and label products in photos. Developers even receive dedicated support and niche integration codes for platforms developed in cURL, Python, and PHP.

Sylce is a visual search platform that uses image recognition technology that can identify products based on a picture and allow the user to shop for them on their smartphone. This software offers tools to shop products, part reordering, and a shopping list can be created by scanning products. On this platform, multiple detection and annotation are available with training data through which you can power visual search models and products recommendation. This software is used by professionals, marketers, and small and medium companies dealing with fashion, furniture, food & groceries, automotive, industrial, and manufacturing. The visual search helps you to find parts you cant name in a snap; find and buy a whole look of the room; connect print media with digital stores. Slyce can be your tailored product finder because it combines 3D real-world product recognition with barcode and catalog scanning technology. Features like Image Recognition, Part Recognition (based on metric learning), Deep Tagging (product annotation technology) creates an enjoyable and convenient user experience.

FaceX is a fully functional face recognition attendance software for startups and small businesses. FaceX offers complete web app development services. Fast face processing, live face detection, compact face features template, and face image quality determination are all included in this online face recognition attendance system. FaceX is a platform that allows businesses to easily integrate facial recognition into their applications. Developers may implement High Accuracy Face Recognition APIs and SDKs with just a few lines of code thanks to its adaptability.Face detection, recognition, and landmark detection from images using HTTP POST requests Face detection, recognition, and landmark detection from images using HTTP POST requests. Easily integrate various facial recognition features into your mobile applications. Docker Instances enable on-premise facial recognition solutions. We also provide end-to-end integrated facial recognition solutions that are suited to your specific needs. Face Recognition, The first stage is to recognise the people in your photo or video. Face Landmarks, You may need to discover landmarks depending on your requirements. The next step is to identify people using a database that has been developed.

Hasty is a proactive labelling tool, developed to speed up object recognition and instance segmentation labelling operations, all while fulfilling your visual AI requirements in a single application. It offers everything you need to move from raw videos or photographs to a production-ready prototype in one single tool. With Hasty, there is no MLops expertise or complicated integrations required. It offers a model playground that allows you to construct models that are fine-tuned down to the tiniest parameter, then deploy them back to the annotation environment for unrivaled annotation speed - or export them and deploy them in your own environment. You can annotate photos, and Hasty utilizes the annotations to build AI models that make creating more annotations quicker. This iterative technique means that you can construct your data asset up to 12 times quicker than previously. You have total control over your data with Hasty. It's never used or shared to train models for anybody other than yourself. Additionally, SOTA architectures are used to compare, test, and train Vision AI models with Hasty.

pixolution Flow is an AI software that’s designed for applications and websites. Users can combine visual search with other search criteria such as data, geo-location, prices, category, users or full-text search to narrow down searches. It allows to speed up visual searches in huge image collections using fast prefiltering. Users can control the influence of visual and textual relevance in the resulting score to focus on textual or visual aspects. It helps users to configure what is relevant and limit results to a minimum ranking score. The ready-to-use AI model works with any image collection without any issues. Right from thumbnails to high-resolution images, users can detect duplicates independent of their size. It allows users to detect duplicate images with different file types or encoding quality. It prevents users from uploading duplicate content or automatically link duplicate images to signal their relationship. Users can control how much search results vary in their color scheme to the actual search color.

Alibaba Cloud Image Search is an intelligent image search service that helps users find similar or identical images. Based on machine learning and deep learning, the product enables end-users to take a screenshot or upload an image to search and find the desired products and fulfill other search requests. Image Search provides industry-leading image search services with high accuracy based on advanced machine learning/deep learning.

Azure Face API is an artificial intelligence service that lets you evaluate faces in pictures for the purpose of identification without any prior knowledge of machine learning. The platform integrates facial recognition, face detection, identification, and analysis in pictures and videos into your applications to provide a smooth and safe user experience. Azure Face API detects facial characteristics and qualities in a picture, such as a face mask, spectacles, or face location, and person identification through a match to your private repository or photo ID. You can use this technology to enable a variety of situations, such as introducing new users by confirming their identity, authenticating users for access control, or removing faces from pictures. With Azure Face API, you receive a confidence score based on the probability that two faces belong to the same individual. The platform provides enterprise-level security and privacy for your data as well as any trained models by ensuring that the pictures that you evaluate are not saved by the service. Additionally, Azure Face API can easily be integrated with a lot of other platforms.

Custom Vision is a smart image recognition platform by Azure that lets you develop, deploy, and update your own image identification models. It offers custom vision, unlike computer vision that allows you to create your own labels and train custom models to identify them. It labels pictures based on their observed visual features (labels indicate classes or objects). Using the easy UI offered by Azure, you can quickly create your own image identification model. Custom Vision provided by the platform can be run in the cloud or in containers on the edge. It enables automatic image tagging and custom classification to ease up the process of image recognition. Users can easily recognize objects, people, text, settings, and actions, as well as detect any improper information in photos and videos. It additionally offers enterprise-grade security and privacy for your data or any trained models. It has a free plan with 2 TPS. The standard plan with 10 TPS starts at as low as $2. You can directly connect to their sales specialist for further details.