HyperLabel is an ML datasets creation platform for the generation of synthetic, structured, and enhanced datasets used in machine learning research. The datasets are aimed at modeling non-stationary and non-linear relationships with a focus on unsupervised learning. It solves problems associated with the collection of real-world data, such as the number of available labeled datasets being limited, thus hindering the development of algorithms that can generalize better.
Another problem that it solves is the limited number of labeled training data can lead to overfitting of poor generalization of a model. Hyperlabel platform uses an interactive web application to create separated datasets and label them based on their reach and engagement. You can train your models faster and more precisely with this solution. It allows to convert any product into a smart product and then creates label and value pair datasets with large scale and no human supervision required.
Dataloop is a cloud-based AI engine that extends your data and analytics infrastructure into the future. It provides the next generation of data warehouses, analytics, and data prep capabilities. It is one of the most powerful data engines to date built for the AI era. The platform has a built-in high-level graphics interface and easy-to-use high-level language, which enables the development of complex data analysis applications that can manage and process extreme volumes of complex structured, unstructured, and semi-structured data.
Dataloop’s interface can be used to analyze any type of structure or unstructured data with very good performance on a single machine, thanks to its multi-threaded paradigm. In addition to its high-level interface, this AI engine also has a powerful low-level interface that can be used to hack the most demanding computational tasks. It connects to multiple sources and then displays the data in a way that makes it easier for non-coding experts to use.
ByteBridge is a data labeling platform that provides a cost-effective and scalable SaaS solution in labeling and image data formatting. It is designed by a data scientist and has integrated real-time management features to make your scalable data labeling efficient and automated. It has real-time workflow supervision; you can label the data with a few clicks, and you can see the result of labeling after one second. This scalable labeling technology enables enterprises to augment human intelligence through crowd laboring and artificial intelligence collaboration by intelligently scaling human tasks from small to large datasets.
Moreover, the complex task is automatically transformed into tiny components to maximize the quality level as well as maintain consistency. All work results are completely screened and inspected by the human workforce. Complex tasks are automatically segregated into smaller tasks to lower human error, while the consensus algorithm ensures that you receive consistently high-quality data. In addition, all processed data are thoroughly assessed and verified by a machine and human workforce.
FiftyOne is a Machine Learning library that allows you to build high-quality datasets and computer vision models. It allows data scientists to train machine learning models on high-quality datasets comprised of images and instructions that result in super-fast, highly accurate predictions. The library supports the fast training of deep neural networks and provides several datasets, with the generated images being marked up with bounding boxes and annotations. FiftyOne has been built with TensorFlow, PyTorch, and Keras, on top of PyTorch’s Object Detection API, providing a solid foundation for building the next generation of computer vision models.
It offers higher-quality images that are even more related to your search query. It readily updates its datasets for object detection, bounding boxes, text detection and generation, object tracking, and more. You can work with data that is stored in the remote machine that you have full access to. The pre-processing image module allows you to train the ML model with pre-requisites such as color space conversions and resizing.
#4 RTE Runner
RTE Runner is a platform that allows the execution of AI models in a dynamic manner for business process automation. The platform provides end-to-end solutions for model execution, automation, and integrating AI with existing business infrastructure. It takes care of the model execution and produces the expected outcomes, and creates an audit trail with every step that is executed. The platform can handle any type of AI model like image classification, object detection, or any other custom business process workflow. It can be used by enterprises to execute data science models in a reliable manner for business process automation.
It provides a web-based, user-friendly interface to quickly train and deploy machine learning models when a pipeline or production system is built. With RTE Runner, a simple drag-and-drop UI, users can execute and deploy their client’s machine learning models in production systems. RTE Runner also provides convenient automation interfaces to ensure AI model consistency across the deployment stage by updating and maintaining the AI model structure and environment.
DataGym is an AI-powered platform that allows you to automate the image labeling process in computer neural network training. The company was started with the vision of making machine learning and AI accessible to everyone. It democratizes the technical aspects of training a successful model by automating image labeling and other tedious tasks. It’s a fast, simple, and affordable software for Computer Vision experts. DataGym is a reinforcement learning-based approach that allows users to develop their own custom training and testing sets.
The user can train the model to recognize anything and everything from handwritten digits (OCR) to facial features (face recognition) and even a specific object that the user can point to on-screen. The goal is to accelerate the development of custom labeling workflows by automating all image labeling processes. The application has been designed for Data Scientists and Labelers who would like to experiment with different ideas, architectures, and datasets without going through complex tasks of data cleaning, pre-processing, and preparing it for training.
Edgecase.ai is an AI-powered image labeling platform that allows you to train neural networks. It can be used by any existing API that can take in data from an Amazon Rekognition, Cloud Vision, etc. It has currently has more than 70 industry-specific keyword categories and more than 4000 keywords. It is being used by multiple companies to train their AI models and by many startups to power their apps. It uses advanced neural network layers such as inception v3 and resnet v1 to build powerful deep learning models.
Edgecase.ai allows developers to annotate images in collaboration with their team or to crowdsource their image labeling needs with the public. It automates the manual process of annotating images for use in training neural networks. Edgecase.ai is also used for digital asset management, as it can be used as an image tagging tool for training neural networks to categorize visual content.
Remo.ai is an AI web application that allows you to manage and visualize computer vision datasets. It makes it easy to browse and analyze your dataset visually. It also comes with an integrated Computer Vision backend which can be used to access your dataset programmatically. The aim is to build to fix the problem of processing and exploring datasets. Uploading images, processing them, and storing them in a database is often a time-consuming, repetitive and boring task.
Remo will get you from data to insights in minutes. You can run it on any device with a browser, and you can use it to process your own images or remote images on the internet. It provides a service to upload and process your images on our remote servers, which serve all images in the dataset, including new ones. Users can use Remo.ai as a web server to host their own Computer Vision algorithm demos out of the box, with minimalistic instructions on how to make one.
Hasty.ai is an AI platform that allows you to deliver and simplify the process of deploying computer vision applications and models. If you want to use an existing computer vision model to make your product simpler or train a computer vision model, this platform will handle the hard work of setting up the training environment, getting the data into the system, and managing the life cycle of your model.
Rapidly deploy trained machine learning models at scale to mobile, embedded, and web applications via our Hasty.ai platform. The aim is to help developers, businesses and researchers overcome the challenges of building computer vision models at scale. This makes it easier for developers to manage tasks like data augmentation, fine-tuning, hyper-parameter optimization, model evaluation, and deployment. All in all, Hasty.ai is a great platform that you can consider among its alternatives.
CrowdFlower is one of the leading machine learning and artificial intelligence-based platforms that are facilitating you with comprehensive training data which is accurate, providing the right data enrichment. CrowdFlower provides high-quality training data to various organizations to enhance their analytic capabilities. It has an enormous community of workers who are signing up on a daily basis. This is an automated platform that connects with crowd-based data sources.
It has a simple user interface that allows the organizations to easily access as well as grow as an organization. This crowdsourced workforce platform is designed for companies and organizations in need of extreme scale and accuracy with their data and analytics. It is highly flexible and provides an opportunity to analyze the data using any of the toolsets the users want. The platform is consistently providing high-quality training data having advanced technology, managed services, and robust AI.
#10 Amazon Mechanical Turk
Amazon Mechanical Turk is an all-in-one crowdsource-based marketplace designed for businesses and individuals to outsource their processes and jobs. It has been very beneficial to conduct simple data validation and research to streamline tasks, including content moderation, survey participation, and more to add. Amazon Mechanical Turk is all set to deliver competitive data insights and intelligence in order to have top business processes, augmented data collection, and enhanced machine learning development.
Amazon Mechanical Turk helps businesses and people to bridge their resources with resources available online by using the power of the crowd. This lavish data platform is facilitating you with the things like data validation, research, content moderation, survey participation, and more. Amazon Mechanical Turk has been great for my business because they offer competitive data insights and intelligence in order to have top business processes.
It has been the choice for many successful businesses around the globe because it offers superior augmented data collection and enhanced machine learning development. So one place and you are able to manage training data, processes, and individuals, and much of your time will be saved while doing repetitive tasks for your business.
UniversalDataTool is an all-in-one application designed for editing and annotating images, audio, text, documents, and video in an open data format. With this platform, you have the ability to view all the labels, queries and integrate certification right into your workforce.
The application is very intuitive due to the use of drag-and-drop elements, which allow you to precisely control your workflow while using the features you need. This software provides the ability to edit your images with support for high-resolution vector graphics.
UniversalDataTool also has powerful export options, including exporting images in a customizable resolution, exporting files via email attachments, or cloud storage services like Dropbox. The good thing about this software is that it provides real-time collaboration support; just share a link and let people join the session. UniversalDataTool also has built-in Voice Recognition to edit text files with just your voice. The application can easily transcribe long recordings into clear, concise documents, which can be exported as PDFs, Word Documents, TXTs, etc.
#12 Label Box
Label Box is completely a legit platform, providing leading training data used in data labeling, data management, robust API, and automation. Label box is the only solution with the flexibility and versatility to provide customized labeling for any problem or project. It comes with the capability to work with any data science project that requires a different style of label. The platform has been revolutionizing with its smart data annotation, prioritizing tasks, and diagnosing model performance because of the advanced AI model.
The platform has been delivering the right control for your data with the centralized and configurable workflow, whether it is connecting datasets and collaborating across workforce channels. It makes everything count that makes it perfect for your organization to set up in an accurate manner. This software not only has the capability to identify the text in some of the most difficult multi-lingual documents but also some of the most complex social media posts.
Playment is a sumptuous data labeling platform that is designed for machine learning experts to build datasets courtesy of having ML-assisted tools and refined project management software. It offers a variety of leading-edge features for ML experts, from state-of-the-art APIs delivered through flexible contracts to a streamlined process for gathering human input and gathering collected data. You can use Playment’s Machine Learning Library, which translates the collected data into machine learning algorithms and analyses.
Playment is featuring the state of the art data collection tools for gathering real-world data and leveraging APIs to streamline processes. Playment is an all-inclusive solution to the labeling process, and dispensing machine learning tools are a simple way to transform collected data into products. Moreover, you have ML-assisted labeling tools, providing you best in class and accurate annotations, including 2D and 3D bounding boxes, polylines, semantic segmentation, and more to add.
#14 Labeling AI
Labeling AI is a best-in-class data annotation tool that provides the trusted data that you need to overcome challenges. The software helps professionals, associations, and research centers publish their documents with well-researched information about life sciences for both published and manuscript levels. In addition, it is a trusted data annotation tool for biomedical informatics. The labeler has a database of tagged text and images, which enables it to identify and capture biomedical documents, images, and graphs.
The Label AI platform can be used in different ways. The software has been specifically designed to cater to the needs of both academic and industry professionals. Artificial intelligence allows for automated labeling, which helps you label an extensive amount of data via inspecting the results. The platform brings the way to deploy the best AI for sure, allowing you to transform the auto labeling into an object identification AI model that will be crucial in detecting the object as per requirements.
ImageAnnotation.Ai is one of the resourceful image annotation services based on artificial intelligence, providing data labeling infrastructure for ML teams. It can help you annotate any complicated images easily and accurately in a short time, which saves your time and the cost of labeling people. A vast number of websites are already using ImageAnnotation.Ai to annotate images, such as Autodesk ReCap, DeepScale, Sightengine, and more to add.
The AI-powered ImageAnnotation.Ai can automatically label many different types of objects in an image. ImageAnnotation.Ai works with a network that understands what an object looks like and how to label it. You just need to upload a reference image or a large collection of images to the ImageAnnotation.Ai Catalog.
Then it will automatically label all your uploaded images with one click. All your labels are stored in the cloud, so you can use them at any time, even when you are offline. The platform makes sure that your image annotation projects are efficiently implemented—courtesy of the lavish artificial intelligence, machine learning, deep learning, and deep vision.
OCLAVI is a reliable platform that is making its mark by providing top-notch solutions to annotate images and videos that are in turn used in training machine learning models. The leading platform has been created for your AI needs and comes with the focus to provide reliable solutions to annotate images and videos. This will be crucial to train machine learning models.
It provides solutions that do not only outperform humans in image annotation when combined with machine learning models but also exceed the performance of the best deep-learning algorithm for image classification. OCLAVI is striving to create a platform where all those with AI needs can come and get their job done. It concentrates on bounding-box and polygon annotation regardless of the machine learning project, Courtesy of services and tools to control your object detection, computer vision, or image segmentation projects.
Sequence.work is one of the worthy image annotation, data labeling, and classification outsourcing platform, providing the on-point uniformity, accuracy, and compactness across all of your datasets. This cutting-edge platform is designed for all your data needs. It offers high accuracy, efficiency, and affordability for all types of data annotation work.
Sequence.work provides a wide range of features to make your work easier and more enjoyable. The platform features support with easy-to-use tools that can be accessed from Sequence’s intuitive user interface, which is fast and convenient for both new users as well as experienced ones. It provides trained annotators with the most modern machine learning algorithms, allowing for accurate results that do not need human proofreading.
With Sequence’s data annotation services, you can easily get on top of any data labeling or image annotation project. Sequence.work can be a good choice for bounding-box and polygon annotation for any machine learning project, and at its core, you will find object detection, computer vision, or image segmentation projects.
It provides tools for academic and market researchers, leveraging instant access to millions of varied, high-quality respondents around the globe. In no time, you will be able to recruit an extensive amount of targeted and top-notch participants. TurkPrime has an intuitive design interface that makes it really easy for you to collect accurate data. Moreover, it makes sure that you have the right competitive consumer insights in order to make robust decisions for your business.
CloudFactory is a top-oriented human-powered data processing platform for the deployment of artificial intelligence and optimization of various business operations. It is a human-powered data processing platform that leverages the power of cloud computing, empowering businesses with its customizable AI capabilities, data analytics software, and big data storage features. CloudFactory also provides a unique ecosystem for collaboration among the top analysts in the world in order to optimize any particular business operation in real-time.
This is especially important for businesses that rely on AI technology to ensure that their data is used effectively and efficiently. CloudFactory’s service has been able to develop a network of top analysts from all over the world to deal with any particular business operation in real-time. It features top-class data processing services that are all set to deliver top-notch business operations Courtesy of the well-maintained workforce and back-office tasks.
Segments.ai is a sumptuous data labeling and management platform, providing a centralized way to manage data and ML-powered labeling tools. This will be crucial to building better datasets to build better models. It provides a great way for marketers and companies to manage their data in order to access powerful ML features without spending too much time on labeling projects for an efficient workflow. It also provides real-time collaboration support to work with your team onboard.
The platform is designed for computer vision experts that are keen to manage, improve, and label datasets. Segment.ai provides an easier way for users to upload data and get started with their ML projects. Whether it is image segmentation, Lidar, image bounding boxes, or vector label tasks, Segments.ai supports any labeling tasks for sure. The extravagant features are smart labeling tools, advanced automation, comprehensive model predictions, active learning capabilities, data debugging, integrating your workflow, and more to add.
OnePanel is an all-in-one open and extensible IDE designed for computer vision, comes with the centralized interface for modeling, data processing, and optimizing workflow. It comes with a centralized interface for modeling, data processing, and optimizing workflow. You can not only quickly develop your own model but also deploy it right to the cloud. Not only does OnePanel provide state-of-the-art deep learning models, but it also includes the latest research framework as well.
OnePanel provides an optimized platform for both laptop and server-side applications. It provides flexibility at every level without sacrificing integration. It allows for deep learning models to be developed in an environment that is free of various performance drawbacks. This end-to-end enterprise computer vision platform has the tendency to work with built-in modules, which are then crucial for data various business operations and workflow orchestration. Built-in visualization tools, hypermeter training, built-in algorithms, data augmentation, serverless inference APIs, python SDKs, and more are the things that make OnePanel operative and flexible.
#22 VGG Image Annotator (VIA)
VGG Image Annotator is a simple to use tool that simplifies your annotation, so you will have the acceleration in data science projects and no friction in scaling tasks. Many computer vision researchers use the VGG model to learn how to solve complex problems, like recognizing images or picking out objects of interest.
The software can be used as an interface that provides live results on support vector machine optimized models with both ML-based and deep learning algorithms applied to it. This online utility comes with an easy way; just all you need to do is add files and URLs and put the regular expression for them. There is an attribute and annotate editor that can be used to define attributes and describe regions, respectively. You can save your project and continue it at any time.
Supervisely is a comprehensive web platform that is all set to deliver up to the mark computer vision development, Courtesy of the accurate datasets and neural networks. Developing computer vision is without a doubt the next big thing in artificial intelligence, Courtesy of Supervisely extravagancy. Supervisely works with the team to design, conceptualize, implement, test, evaluate, and iterate on their computer vision projects.
The platform is integrated with Google Cloud Platform to make it easier for developers to get started. Moreover, it makes it easier to use public or private cloud instances for testing purposes. The platform also helps in tracking time spent for various stages of the computer vision process. Supervisely, by design, helps in planning out complex computer vision projects using an interactive console. This makes it much more manageable to keep track of the development process.
There is an inbuilt workflow scheduler, which enables tracking time spent on individual processes related to the development of computer vision projects. Furthermore, it has been providing top-notch on-premises integration and customization support for enterprises that in turn provide complete data privacy, customization capabilities, and integration support for your technology stack.
Wao.ai is a platform that comes with a simple and efficient way to label data and provides scalable solutions for the data input. It makes your life easier by providing a scalable solution for the data input. Wao.ai is used by people who want to label their data in order to help developers use the data efficiently. The platform makes your life easier by organizing your data in a way that can be used by machines to analyze data or use it for other purposes.
It comes with the state of the art specialties, including impact sourcing, machine learning, artificial intelligence, data cleaning, data scrubbing, data parsing, and much more. The platform is all set to optimize the business operations and brings agility to the workflow of data science experts.