Best Computer Vision Software for Google Cloud Platform

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.

Select the subset of data that has the greatest impact on the accuracy of your model. This allows you to improve your model by using the best data in retraining. Reduce data redundancy and bias and focus on edge cases to get the most from your data. Lightly's algorithms are capable of processing large amounts of data in less than 24 hour. Connect Lightly with your existing buckets to process new data automatically. Our API automates the entire data selection process. Use the latest active learning algorithms. Combining active- and selfsupervised learning algorithms lightly for data selection. Combining model predictions, embeddings and metadata will help you achieve your desired distribution of data. Improve your model's performance by understanding data distribution, bias and edge cases. Manage data curation and keep track of the new data for model training and labeling. Installation is easy via a Docker Image and cloud storage integration. No data leaves your infrastructure.

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.

Interplay Platform is a patented low-code platform with 475 pre-built Enterprises, AI, IoT drag-and-drop components. Interplay helps large organizations innovate faster. It's used as middleware and as a rapid app building platform by big companies like Circle K, Ulta Beauty, and many others. As middleware, it operates Pay-by-Plate (frictionless payments at the gas pump) in Europe, Weapons Detection (to predict robberies), AI-based Chat, online personalization tools, low price guarantee tools, computer vision applications such as damage estimation, and much more.

You can easily build, deploy, manage, and monitor computer vision applications using a fully managed, end to end application development environment. This reduces the time it takes to build computer vision apps from days to minutes, at a fraction of the cost of current offerings. You can quickly and easily ingest real-time video streams and images on a global scale. Drag-and-drop interface makes it easy to create computer vision applications. With built-in AI capabilities, you can store and search petabytes worth of data. Vertex AI Vision provides all the tools necessary to manage the lifecycle of computer vision applications. This includes ingestion, analysis and storage, as well as deployment. Connect application output to a data destination such as BigQuery for analytics or live streaming to drive business actions. You can import thousands of video streams from all over the world. Enjoy a monthly pricing structure that allows you to enjoy up-to one-tenth less than the previous offerings.

We will manage your visual data so you can focus on creating amazing products. Our platform allows for seamless integration with a variety of data sources, including local disks, network files systems, and major cloud providers like AWS, GCP, Azure, and others. Visual Layer scans all your data, whether it is 10K or 50B images. It continuously alerts you to any quality issues. Data management is made easy and efficient with our platform's automated resolution of data quality issues. Data quality issues can be resolved quickly and accurately with automatic resolution capabilities. Resolve all data quality issues effortlessly and automatically. Automatically identify data quality issues and gain valuable insights. Ingest data from any sources seamlessly. Visual Layer in the cloud. Save up to 95% on your labeling costs Manage billions of images, videos and other media.

Voxel51, the company behind FiftyOne is responsible for the open-source software that allows you to create better computer vision workflows through improving the quality of datasets and delivering insights into your models. Explore, search and slice your datasets. Find samples and labels quickly that match your criteria. FiftyOne offers tight integrations to public datasets such as COCO, Open Images and ActivityNet. You can also create your own datasets. Data quality is one of the most important factors that affect model performance. FiftyOne can help you identify, visualize and correct the failure modes of your model. Annotation errors lead to bad models. But finding mistakes manually is not scalable. FiftyOne automatically finds and corrects label mistakes, so you can curate better-quality datasets. Manual debugging and aggregate performance metrics don't scale. Use the FiftyOne Brain for edge cases, new samples to train on, and more.

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

Large storage for video to be stored locally for up to 30 days. This ensures data security. Few examples are required to train AI and make it deployable in minutes. Real-time reports are available to provide the necessary metrics for different stakeholders. Cybersecurity is maintained at factory firewall level. Privacy protection for workers, including face blurring where appropriate. No facial recognition. Scalable across factories with low infrastructure requirements. Easy to integrate with most enterprise software. We are committed to providing human-centric solutions that improve work conditions and protect workers' privacy. No facial recognition is allowed; only aggregated metrics can be used. It takes only one click to blur operators' faces without affecting AI performance.

Video never lies. Our technology allows you to uncover and understand human behavior and experiences in order to identify business-changing design, communication and innovation opportunities. We transform video from places and places where life happens naturally into actionable data and content that builds empathy. Our Lifestream methodology taps into real life and removes bias from researchers & facilities. It introduces a new data source to the industry, uncovering hidden truths about consumers' lives in close to real time. Real life is messy. Human behavior is subconscious and based upon habit. Lifestream allows you to see everyday life and understand human behavior in an uncluttered environment. Our mobile capture techniques and methodologies take you on a journey with a consumer to see real moments in their day.