Sold by: Yobitel
Deployed on AWS
This product includes charges for expert support, configuration, and maintenance services. CVAT is an open-source computer vision annotation platform designed for efficient labeling of images and videos. Pre-configured for rapid deployment with automated workflows, and cloud storage integration, export high-quality datasets in YOLO and COCO format . Expert support, configuration, and maintenance services are available for seamless setup and ongoing operations.
Overview
This is a repackaged open-source software product wherein additional charges apply for expert support, pre-configuration, and ongoing maintenance services. Yobitel Image & Video Annotation Platform is a pre-configured deployment of CVAT, the open source computer vision annotation tool, designed for rapid deployment. It provides advanced computer vision data labeling capabilities for images and videos, including bounding boxes, polygons, keypoints, segmentation masks, and object tracking. The platform comes pre-installed with all essential dependencies and integrations for high-performance annotation workflows, including Docker, Python, and popular AI-assisted labeling models. Automation scripts simplify environment setup, task creation, and user management, allowing teams to start annotating datasets immediately after deployment. Multi-Format Dataset Support: Export annotations in widely used formats such as YOLO, COCO, Pascal VOC, and more, ensuring seamless compatibility . Model-Training Ready Datasets: All exported datasets can be directly used to train state-of-the-art models including YOLOv5 to recent YOLOv26 versions. Annotation utilities within the platform allow efficient annotation and manipulation of labels for improved accuracy and workflow speed. Pre-Configured Environment: Delivered as a ready-to-use annotation environment, built on CVAT optimized for deployments, minimizing setup time and configuration effort. Rich Annotation Support: Offers a wide range of annotation types including bounding boxes, polygons, segmentation, keypoints, and object tracking for complex video datasets.
CVAT is a trademark of CVAT.ai Corporation. Yobitel Communications Limited is not affiliated with, endorsed by or sponsored by CVAT.ai Corporation. CVAT is licensed under the MIT Licence. Yobitel provides the deployment configuration, automation scripts and support.
Highlights
- Pre-configured annotation environment, ready in minutes skip complex installations and start annotating images and videos immediately.
- Supports multiple annotation types bounding boxes, polygons, segmentation, keypoints, and more annotation types . Datasets can be exported in different formats like YOLO and COCO .
- Integration with Docker-based deployment for scalable, production-ready annotation pipelines.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.03 |
t3a.xlarge | $0.03 |
m5.2xlarge | $0.03 |
m4.2xlarge | $0.03 |
m5.xlarge | $0.03 |
m4.xlarge | $0.03 |
t3.2xlarge | $0.03 |
m5a.large | $0.03 |
c4.xlarge | $0.03 |
m5a.2xlarge | $0.03 |
Dimensions summary
You pay a flat hourly rate for the EC2 instance you run the annotation software on. Pricing scales with compute, not with team size or task volume. The 16 dimensions map to different EC2 instance families and sizes. General-purpose options (m4, m5, m5a), burstable options (t3, t3a), and compute-focused options (c4) let you match hardware to your workload. Within each family, sizes range from large to 2xlarge, so larger instances cost more per hour. You pick the size that fits your labeling needs and pay only for the hours you run.
Top-of-mind questions for buyers
The software meters running instance-hours only. When you stop the instance, hourly software charges stop accruing. Note that stopped instances may still incur underlying AWS storage fees for attached volumes, but the annotation software licence bills only the hours the instance runs.
No. You pay a flat hourly rate for the EC2 instance you run, regardless of how many people label data or how many tasks they complete. There are no per-seat fees. Cost depends only on which instance size you pick and how many hours it runs.
The vendor recommends m5.xlarge or m5.2xlarge for AI-assist workloads, which use built-in models to speed up polygon and boundary labeling. Larger sizes cost more per hour. You match the instance family and size to your dataset volume and how much assisted labeling you run.
www.yobitel.com
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Vendor refund policy
Please note that refunds will only be issued in the event of identified stack issues. Kindly note that refunds will not be provided for infrastructure failures, downtimes resulting from misconfiguration, or any other issues with AWS infrastructure.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
We proudly introduce the Pre-Built CVAT Annotation Platform as an on-demand computer vision data labeling solution built for developers, researchers, and enterprises. This version emphasizes efficiency, scalability, and ease of use with pre-configured workflows, labeling, and automation scripts for seamless dataset creation and project management on cloud environments. Pre-configured for rapid deployment with automated workflows, and cloud storage integration, export high-quality datasets in YOLO and COCO format .
Additional details
Usage instructions
Follow the steps to get started :
- While the instance is in running state copy the public IP.
- Use that publicip as http://publicIP:8000 in the browser, Login page opens.
- Use SSH to connect your AWS EC2 by user ubuntu
- Now, In the terminal run this command 'sudo cat /opt/cvat/superuser.txt'
- Get the username and password for login.
- Now Get started with CVAT.
Refer to our user manual for Yobitel CVAT Image & Video Annotation Solutions in https://www.yobitel.com/single-post/yobitel-cvat-image-video-annotation-solutions with step-by-step methods Please contact Yobitel customer support in case you require further assistance. Email: support@yobitel.com
Support
Vendor support
We, Yobitel - Cloud-Native Application Stack and Cloud Consulting Services company, offer Free Training, Post Migration & Go-Live support, and Enhanced care support with AWS Chime 24/7 support to ensure a smooth transition. Our team of experts is well-versed in AWS Managed Cloud Services and provides businesses with the necessary guidance and support to ensure a successful transition to the cloud. Learning Resources: Yobitel - Cloud Native Service Provider Resource URL:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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