Alternatives to Amazon Rekognition

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 50 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition

Oz Liveness is a world-leading facial recognition and authentication software that is used by private and public organizations around the world to reduce the risk of biometric fraud. It prevents deepfake attacks and spoofing attacks. Oz Liveness uses advanced algorithms to detect many forms of biometric spoofing. This includes 3D and 2D masks, photos and videos displayed on iPads or laptops, and photos and videos. Our technology has been approved by the industry's most stringent testing standard, ISO30107 certification. This certification helps organizations verify that they are dealing with a real person within seconds. It also lowers compliance risk and fraud risk.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

Data platform for vision AI that is enterprise-grade. Dataloop is an all-in-one solution for building and deploying powerful computer-vision pipelines. It automates data ops, data labeling, data ops, customizing data pipelines, and weaving the human-inthe-loop for data validation. Our vision is to make machine-learning-based systems affordable, accessible, and scalable for everyone.

By embedding vision capabilities into your apps, you can increase content discovery, automate text extract, analyze video in real-time, and create products that more people will use. Visual data processing can be used to identify content with objects and concepts. It can also generate image descriptions, extract text, and moderate content. It can also be used to understand people's movements in physical spaces. You don't need to have any machine learning skills.

Trusted all over the internet to protect communities from offensive content It's easy to integrate an API into your website, app, or platform. Analyze an animated anime image and give it a rating for its content for different audiences. Detects labels and tags images. Detects any anime characters visible and names them. Detects copyrights of image content. Analyze text and return any negative words founds in 27 languages. Also, returns a cleaned version of text. Analyze an image, and return the QRcode text. Analyze an image, and rate its content for appropriateness for a specific audience (adult, teen, or everyone).

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Amazon Textract, a fully managed machine-learning service, automatically extracts text from scanned documents. It goes beyond optical character recognition (OCR), to identify, understand and extract data from forms or tables. Today, many companies extract data from scanned documents such as PDF's and tables using manual data entry. This can be slow, expensive, and prone to errors. Or, they use OCR software which requires manual configuration and must be updated every time the form is modified to be usable. Textract uses machine-learning to automatically read and process any type document. It extracts text, forms, tables, and other data without any manual effort or custom code. Textract allows you to quickly automate manual document activities and process millions of pages in just hours.

CompreFace is an open-source, free face recognition service. It can be integrated into any system without the need for machine learning skills. CompreFace comes as a docker compile config. It supports various models that run on CPU and GPU. Our solution is based upon state-of the-art methods and libraries such as InsightFace and FaceNet. It makes it easier to detect unauthorized access to sensitive areas or your office security perimeter. It can be used to collect data for sales and marketing purposes, and/or to target ads to customers in real time. It can be used to track students and employees so they know where they are. It allows businesses to provide exceptional customer service by detecting customers at their entrance. It speeds up the process of checking in at airports, conferences, hotels, and airports. CompreFace was designed to be simple, effective, and versatile.

Azure AI Content Security is a platform for content moderation that uses AI to ensure your content remains safe. AI models can detect offensive or inappropriate text and images in seconds, allowing you to create better online experiences. Language models analyze multilingual texts, both in short and long form with an understanding of context, semantics, and syntax. Using the latest Florence technology, vision models can recognize images and detect objects. AI content classifiers can identify content that is sexual, violent, hateful, or self-harming with high levels granularity. The severity of content moderation is measured on a scale from low to high.

Our tools for marketplace content moderation are always available and automatically screen every image uploaded to your platform. It can detect nudity, harmful contents, weapons, and other content that is not in line with your policy. It can also check the text to detect ALL CAPS and any other unwelcome symbols. It also allows users to modify their product images by changing the background or color. EasyCMT also offers a plug-in to the Slack app. Our Slackbot app can detect, mark, and remove toxic content from the Slack channel. Slackbot ensures that communication within Your digital workspace is safe. Users will be more inclined to visit the website again and upload more content if the aesthetic content matches the purpose. Google searches also rank sites with high quality content higher in search results.

Eden AI streamlines the utilization and implementation of AI technologies through a unique API, seamlessly linked to top-tier AI engines. We value your time, sparing you the hassle of choosing the ideal AI engine for your project and data. Forget about waiting for weeks to switch your AI engine – with us, it's a matter of seconds, and it's completely free. Our commitment is to secure the most cost-effective provider without compromising performance quality.

We make it easy for you to add superhuman computer vision into your applications, devices, and processes to give yourself an unassailable competitive edge.

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complicated AI tools is hard. And confusing. Especially if you don't know machine learning. That’s why Nyckel built a platform that makes image and text classification easy. In just a few minutes, you can train an AI model to identify attributes of any image or text. Our goal is to help anyone spin up an image or text classification model in just minutes, regardless of technical knowledge.

Our image and video recognition APIs have been proven to be highly scalable and can be integrated into your own applications without the need for machine learning expertise. EyeRecognize's image and video recognition API services can be used to identify objects, people and text in images and videos. You can also detect faces and NSFW material. Face Analysis and Face Detection, identify all faces in images and videos and extract attributes such as gender, age, eyes and emotion. Text Detection: Extract text from images, such as street signs, license plates, advertising, and brand name. Identify NSFW ("Not Safe for Work") and other inappropriate content in both video and images. EyeRecognize is a collective of over 40 years of artificial intelligence-powered applications. They are the pioneers in using machine learning to automate content moderation on social media.

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

Virus API allows you to scan files and identify security problems with content. A Virus Scanning and Reverse Proxy Server protects your web application and web APIs from viruses uploaded automatically. Protect any object or file in Google Cloud Platform (GCP), Cloud Storage automatically from viruses and malware. Protect any SharePoint Document Libraries and Sites from malware and viruses automatically, without code changes, in real-time. Our advanced Deep Learning OCR APIs allow you to convert scanned documents and photos into rich text. Automatically unrotates and unskews the images when necessary. The validation APIs allow you to validate data. Verify that an E-mail address you receive is legitimate. Verify that the domain is legitimate. You can check the IP address and where it is located. The validation API provides all this information and more.

Imagga's API allows you to create the next generation image recognition applications. Our machine learning technology allows you to create intelligent apps. Automatically assign tags for your images. A powerful API for image analysis and discovery. Your application can enable product discovery. A powerful API to build visual search capabilities. Your applications can now unlock facial recognition. A powerful API for building facial recognition. Our image A.I. can be trained To organize your photos in your own categories. Automatically categorize all your image content. A powerful API for instant image classification. Automated moderation of adult image content based on state-of-the-art image recognition technology. Beautiful thumbnails automatically generated. Powerful API for content-aware clipping. Let colors add meaning to your product photos. A powerful API for color extraction.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

A class-agnostic, pixel-perfect automated annotation platform. Built for teams that have a lot of data and strict quality requirements but little time. Ground truth creation can be scaled up 10x. Collaborate with unlimited team members, annotators and seamlessly integrate into your deep learning pipeline. Create ground truth 10x faster with pixel-perfect annotations. Use V7's intuitive tools for labeling data and automating your ML pipelines. The ultimate image and Video Annotation Solution

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

For a seamless user experience, embed facial recognition in your apps. No machine learning expertise required. Face detection recognizes faces and attributes in images; person identification matches individuals in your private repository of up 1 million people; perceived emotion recognition detects a variety of facial expressions such as fear, happiness, contempt, and neutrality; and recognition and grouping similar faces in images. Face recognition can be based on a variety of attributes. All you need to do is make one API call and add facial recognition to your apps. Run Face on the cloud or at the edge in containers. Rely on enterprise-grade privacy and security for both your data as well as any models. Identify, identify, analyze, and analyze faces in images or videos. This technology can be used to support different scenarios. Detect one or more faces and attributes.

Sybrin AI is an integrated technology stack that combines machine learning, computer vision, and data science to intelligently automate business processes. Comprehensive framework for extracting data from non-traditional data sources such as documents, images, video, and videos. Real-time ID capture and extraction from any ID document anywhere in the world. Sybrin intelligent document capture allows you to integrate image capture, clean-up, recognition, data extraction, and data extraction into any application. To prevent spoof attacks and verify that the remote contact is real, active or passive liveness detection uses image processing techniques and neural network to detect if the person behind it is real. Sybrin Identity Verification validates that the person is real by matching their identity documents against a live selfie or third-party database.

Our cloud API allows you to integrate Face Recognition. Compare and detect human faces. Identify people previously tagged in images. Recognize the person's age, gender, and emotion in a photo. It is useful if you require a face database to be used with different services. It doesn't store photos. We only store neural network templates that cannot be used to restore photos. API supports all programming languages that can handle API requests. You can simply copy and paste the code from most of our code examples into your project. Our cloud servers use High CPU. This ensures the best performance for all features we offer. Facial recognition, for example, takes just 60ms. You can make as many requests as necessary. The cloud can be scaled to meet your needs. It's great if you need to manage large numbers of photos. The API has been designed to allow you to send a request and receive a response. There is no need to think about algorithms and storage.

Business data can be found in many formats and from different sources. Many business data is not structured or semi-structured. IDP (Intelligent Document Processing), which uses AI and programmable automation (such repetitive tasks) to convert business data into usable, structured formats and for consumption by downstream system. Blox.ai uses Natural Language Processing (NLP), Computer Vision, (CV) and machine learning tools to identify, label and extract relevant data from any type. The AI then converts the extracted information into a structured format and creates a model that can be used for all types of similar documents. Blox.ai is used to reconcile data based upon business requirements and push the output to downstream system automatically.

Get real-time shopper insights. Measurable customer satisfaction. Find out who your customers are. Our Face Analysis Technology empowers brick-and-mortar stores with anonymous shoppers' insights in real-time to optimize customer experiences and daily retail operations. Check out our recommendations. Smarter in-store experiences will increase customer satisfaction and engagement. We all want to increase customer engagement. A satisfied customer is a returning customer. Our software gives you real-time insight into your shoppers' demographic profile and interest. Know who your customers are and optimize everything, from shelf-level displays, to store layouts based on customer behavior. Are you reaching your target audience? These questions can be answered with our software.

NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

Our Computer Vision API can be easily integrated into your app to add Machine Learning magic. Inferdo is proud of our ability not only to provide state-of the-art, pre-trained deep-learning models but also our ability serve them efficiently at scale. This means that we can pass on the savings to you! We'll take care of the rest by simply sending an image URL to our API. To flag inappropriate content in your images, you can use our Content Moderation API. This model can detect nudity in images and NSFW content, both drawn and real. Compare our API costs with our competitors. Our Image Labeling API allows you to add semantic labels to images. This model can classify thousands upon thousands of unique labels in a variety of categories. Our Face Detection API can be used to locate human faces within your images. You want more information? Use our Face Details API to find out more about faces, gender, age, or other facial features.

SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services. We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.

Image recognition technology that gives you a complete understanding of your digital media. Our on-device computer vision system can provide a response time of less that 250ms. This is 4x faster than our API and doesn't require an internet connection. By simply scanning their phones around a room, users can identify objects in that space. This feature is exclusive to our on-device platform. Privacy concerns are almost eliminated by removing the requirement for data to be sent from the end-user device. Our API takes every precaution to protect your privacy. However, our on-device model raises security standards significantly. CloudSight will send you visual content. Our API will then generate a natural language description. Filter and categorize images. You can also monitor for inappropriate content and assign labels to all your digital media.

Prisma's facial identification system can identify or verify a person using a digital image or a frame from a source video. Facial recognition systems can be used in many ways. However, the basic principle is to compare selected facial features of an image with faces in a database. It can also be described as a biometric AI-based application that can uniquely identify someone by analysing patterns based on facial textures and shapes. The print content would serve as a marker and match the reference image. Image recognition engines can be used to market the brand by linking logos to ads, websites, or information. The process of taking images from mobile devices and matching them with a reference image. Prisma has now made the same image recognition algorithms available for applications, drawing on its many years of experience with image recognition.

AlwaysAI offers developers a simple and flexible way for them to create, train, and deploy computer-vision applications to a wide range of IoT devices. You can choose from a variety of deep learning models, or upload your own. Our flexible and customizable APIs make it easy to quickly enable core computer vision services. You can quickly prototype, test, and iterate using a variety camera-enabled ARM32, ARM64, and x86 devices. Identify objects in an image using their names or classifications. Identify and count objects in real-time video feeds. Follow the same object through a series of frames. To count or track faces or complete bodies in a scene, locate them. Identify and draw borders around objects. You can separate the key objects from the background visuals in an image. Determine human body postures, fall detection, and emotions. To train an object detection model, use our model training toolkit. You can create a model that is tailored to your particular use-case.

We offer ready-to-use components such as face recognition SDKs as well as custom software design services and hosted web services that focus on image and video analysis, faces, and objects recognition. Our technology is used by video and image archives, web advertising, entertainment projects, media content producers and video surveillance and security solutions. It also has applications for end users and b2b developers. The Betaface facial recognition suite includes complex operations such as face detection, identification, verification or 1:1,1:N matching, biometric measurements, facial analysis, face tracking on video, age and gender recognition, facial features and shape description, hairstyle analysis, and hairstyle color detection. Our technology is used in video and images archives, entertainment projects, and web advertising.

We listen to you and adapt our methods to meet your needs. All the benefits of working are yours. PixDynamics focuses on the wealthy and provides a precise net worth figure. It is not a range. Also, it gives a range of deterministic consumer attributes for each household. PixDynamics is constantly updating its proprietary data set to give customers the most current and accurate information on their consultants. PixDynamics solutions were designed for your company. They can sync millions of records with your system and workflows every week to sync millions. It does this by comparing the user’s live image with the uploaded file using biometric anti-spoof algorithm. Our solution detects financial frauds before customers are onboarded in banks, NBFCs, and mobile wallets.

You need accurate data. Surveys are not often filled out. Complex and expensive RFID and Bluetooth (BLE), solutions are available. Each smart camera analyzes hundreds of faces over time and generates metrics such as impressions and demographics (age/sex) and positive sentiment (happiness). It takes less than 12 minutes to set up a camera and you can access our live dashboard from anywhere and at any time. You can measure happiness over time by analysing hundreds of faces with more than 95% accuracy. You will gain valuable insights into which demographics are most and least engaged. To find out what content and activations work best, you can run A/B tests. You will be able to gain powerful insights and data for your marketing, sales, and research efforts. To understand people's behavior, automatically track the total number (non-unique), and measure average dwell times. To uncover unique insights about your audience, use ethical facial analysis.

Nanonets makes it easy to adopt self-service artificial Intelligence by facilitating adoption. You can easily build machine learning models using minimal training data and no prior knowledge of machine learning. We offer the most accurate models at Nanonets. We are always there.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

Your cameras can be used to analyze people, vehicles, crowds, and other objects in real-time. Your cameras can anonymously measure people, vehicles, and crowds in real-time. In one step, you can gather smart metrics from your IP/security camera. We handle the rest. Our technology is compatible with many types of cameras and operating system around the globe. Your AdDashboard is always with you, whether you are on the move, at work, or anywhere else. Share metrics that are important to you and your customers with AdDashboard. Our reputation as the industry's most trusted measurement firm has been earned by our strict privacy and reliability policies. We understand that you need to be able to access, use, and integrate real-time data intuitively. So we made it easy. Our computer vision infrastructure is able to meet all client needs and ensures the highest performance, regardless of how it is implemented.

Folio3 has a dedicated team of Data Scientists and Consultants who have completed end-to-end projects in machine learning, natural language processing and computer vision. Companies can now use highly customized solutions with advanced Machine Learning capabilities thanks to Artificial Intelligence and Machine Learning algorithms. Computer vision technology has revolutionized the way companies use visual content. It has also made it easier to analyze visual data and introduced new functions that are image-based. Folio3's predictive analytics solutions produce fast and effective results that allow you to identify anomalies and opportunities in your business processes.

Anolytics offers data annotation services for image, video and text for machine learning and AI based computer vision. Anolytics provides low-cost annotation services for machine learning and the development of artificial intelligence models. It provides the annotated data in text, images, and videos using various annotation techniques. It also ensures the quality and accuracy. It is highly skilled in Image Annotation, Video Annotation, and Text Annotation. Anolytics provides all the leading data annotation services used for data training in machine learning or deep learning. It provides Bounding boxes, Semantic Segmentation and 3D Point Cloud Annotation as well as 3D Cuboid Annotation. These services are useful in fields such as healthcare, autonomous driving, drone falying, security surveillance, agriculture, and retail. Anolytics offers a scalable solution that is available quickly and at a cost-effective price for clients around the world.

Facial recognition is increasingly popular, especially on mobile devices. Because of the ease of access to images via social media and improvements in digital and print resolution, biometric systems have security holes that fraudsters could exploit to successfully spoof facial recognition systems. These presentation attacks are also known as "presentation attacks" and include printed photos, cutout masks and digital and video replay attacks. Liveness has the potential to increase security and detect fraud. Passive face liveness from ID R&D is both safe and simple to use. While other products require additional steps and time to perform a liveness check, IDLive Face is invisible to customers. They don't even notice it's happening. The software doesn't give fraudsters any clues about how to beat it. Passive life is much easier for users to understand, so abandonment rates are lower and require less human intervention.

Paravision is a platform for computer vision developers that powers face recognition applications in mission-critical situations. Our SDK's, API's, and API's provide complete security and frictionless experiences. They are powered by an industry-leading feature list.

Integrate Face Recognition using our cloud API or host Kairos on you own servers to have complete control over data, security, privacy, and create safer customer experiences. Our company is the world's leading face recognition AI company. We are committed to ethical identity and a representation of our diverse communities. Our innovative API platform makes it easier for developers and businesses to integrate human identity into software. We use deep learning and computer vision to recognize faces in photos, videos, and the real world. Kairos offers developers and businesses around the world state-of-the art, ethical face recognition. Kairos allows developers and businesses to integrate our API with ease. Find human faces in photos. It can detect the age groups of a child, young-adult, senior, or adult and determine the gender of each face, male or female.

Face++ can detect and locate human faces in an image and return high-precision face bounding box results. You can check if two faces belong to the exact same person. To evaluate the similarity, you will receive a confidence score as well as thresholds. Face++ Detect API can detect faces in images and return a face bounding box as well as a token for each one. For further processing, you can pass the face token on to other APIs. Detect API allows you to retrieve face landmarks and attributes of the top five most detected faces. All APIs are free to use. You can upgrade to paid service based on your business volume using the Pay As You Go or QPS service. SDK licensing options can also be found on different devices. Face++ allows users to add advanced, deep learning-based image analysis recognition technologies to their applications with simple and powerful SDKs and APIs.

Get deep insights from your video feeds and make informed business decisions that are supported by data and analytics. Veda Labs allows you to extract deep insights in real-time that are backed up by machine learning and computer vision. The entire view of their stores' performance is available to retailers, from entry to exit. Personalised experiences are key to growth. Veda Labs facial recognition allows hotels to offer a better customer experience. Computer vision and machine learning at large provide A-to-Z insight on warehouse security and performance. Veda's AI software provides real-time pro-active monitoring that sends alerts for unusual activity or tamperings within the region of interest.

Automaton AI's Automaton AI's DNN model and training data management tool, ADVIT, allows you to create, manage, and maintain high-quality models and training data in one place. Automated optimization of data and preparation for each stage of the computer vision pipeline. Automate data labeling and streamline data pipelines in house Automate the management of structured and unstructured video/image/text data and perform automated functions to refine your data before each step in the deep learning pipeline. You can train your own model with accurate data labeling and quality assurance. DNN training requires hyperparameter tuning such as batch size, learning rate, and so on. To improve accuracy, optimize and transfer the learning from trained models. After training, the model can be put into production. ADVIT also does model versioning. Run-time can track model development and accuracy parameters. A pre-trained DNN model can be used to increase the accuracy of your model for auto-labeling.

Deep learning technology provides multi-camera and one-camera portrait blur. Single-camera image quality enhancement is possible. Integration is easy with universal port interfaces. Customers receive professional and fast technical support. Integration is easy with universal port interfaces. Our industry-leading technology allows for a wide variety of product features. Expertise in AI and deep learning. He is also the leader of a big-data-driven image analysis algorithm. He is also a member of a professional product development team. Technology that is proprietary empowers businesses and services. SenseTime is a leader in AI software and is committed to creating an AI-empowered future by innovation. Aiming to advance the interconnection between the digital and physical worlds through AI.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.