You will get Monthly Image Annotation Subscription for Computer Vision Teams

Project details
Scale your computer vision pipeline without the headache of hiring, training, or managing annotation teams. This subscription-based service gives you reliable, human-verified image annotations every month, delivered in your preferred format and tool (CVAT or Label Studio). You get a dedicated project manager, strict QA checks, and transparent accuracy reports—so your models get clean, consistent data every time.
Whether you’re running small pilots or full production pipelines, the service adapts to your volume with flexible monthly plans. No contracts, no idle teams, no chaos. Just steady, high-quality datasets that help your models improve faster. Think of it as an annotation team that doesn’t take vacations—kind of like me, but with fewer coffee breaks.
Whether you’re running small pilots or full production pipelines, the service adapts to your volume with flexible monthly plans. No contracts, no idle teams, no chaos. Just steady, high-quality datasets that help your models improve faster. Think of it as an annotation team that doesn’t take vacations—kind of like me, but with fewer coffee breaks.
AI Development Type
Deep Learning, Model Tuning, Software MaintenanceAI Tools
Keras, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$99
|
Standard
$399
|
Advanced
$1,099
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 2 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
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SM
Serg M.
May 30, 2025
Mattermost audio calls
About Asad
AI Automation & DevOps Engineer | n8n | Kubernetes | Cloud Infra
Lahore, Pakistan - 1:13 pm local time
With 3+ years as a DevOps Engineer and hands-on AI integration experience, I specialize in:
- AI-powered automation using n8n, ChatGPT API, and custom workflows
- Kubernetes deployments with Helm (AKS, EKS, GKE)
- CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins)
- Cloud infrastructure on AWS, Azure, and GCP
- High-availability systems and monitoring (Grafana, ELK)
Recent projects include:
- Provisioned AKS clusters with Apache NiFi for enterprise data workflows
- Built automated CI/CD pipelines reducing deployment time by 70%
- Deployed production-grade Airflow on Kubernetes with custom configurations
- Designed scalable ECS clusters on AWS with auto-scaling groups
I focus on delivering solutions that work reliably from day one - not just code that compiles. Whether you need an AI chatbot integrated into your business, automated workflows to replace manual tasks, or robust DevOps infrastructure, I'll build it right.
Let's discuss how automation and cloud infrastructure can transform your operations.
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Review Guidelines
I review your instructions, classes, and tool preferences to ensure clarity before annotation.
Set Up Project
I configure the annotation workspace, import your data, and prepare QA workflow.


