CVAT Integrations

Amazon Simple Storage Service (Amazon S3) serves as an object storage solution renowned for its exceptional scalability, data availability, security, and performance. This versatile service enables businesses of all sizes across various sectors to securely store and safeguard an unlimited volume of data for numerous applications, including data lakes, websites, mobile apps, backup and recovery, archiving, enterprise solutions, Internet of Things (IoT) devices, and big data analytics. With user-friendly management tools, users can efficiently organize their data and establish precise access controls that align with their unique business and compliance needs. Amazon S3 is engineered to ensure an impressive durability rate of 99.999999999% (11 nines), making it a reliable choice for millions of applications utilized by companies globally. Customers can easily adjust their storage capabilities up or down to adapt to changing demands, eliminating the need for initial investments or prolonged resource acquisition processes. Additionally, the service's robust infrastructure supports a diverse range of data management strategies, further enhancing its appeal to organizations seeking reliable and flexible storage solutions.

All sizes of companies can use object storage. You can store any amount of data. You can retrieve it as often and as often as you like. You can configure your data with Object Lifecycle Management to automatically transition to lower cost storage classes when it meets certain criteria, such as when it reaches a certain date or when you have stored a newer version. Cloud Storage offers a growing number of storage locations that you can store your data, with multiple redundancy options. You can choose where and how to store your data, regardless of whether you want to optimize for a split-second response or create a robust disaster recovery strategy. Two highly efficient online routes to Cloud Storage are Storage Transfer Service and Transfer Service. Both offer the speed and scalability you need to make data transfers faster. Our Transfer Appliance is a shippable storage device that can be used for offline data transfer.

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.

Azure Blob Storage provides highly scalable and secure object storage tailored for cloud-native applications, data lakes, archives, high-performance computing, and machine learning tasks. It enables users to establish data lakes that cater to their analytics requirements while also offering robust storage solutions for the development of dynamic cloud-native and mobile applications. With tiered storage options, you can effectively manage costs for long-term data while having the flexibility to scale resources for demanding high-performance computing and machine learning initiatives. Engineered to meet the expectations of security, scale, and availability, Blob storage serves as a fundamental resource for developers of mobile, web, and cloud-native applications. Additionally, it plays a key role in serverless architectures, such as those utilizing Azure Functions. Supporting major development frameworks like Java, .NET, Python, and Node.js, Blob storage stands out as the sole cloud storage service that provides a premium, SSD-based object storage tier designed for low-latency and interactive use cases. This versatility makes it an essential tool for businesses looking to enhance their cloud strategies.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

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.