Freelancers using Cvat

Freelancers using CvatFreelancers using Cvat

Cover image for Computer Vision for Manufacturing - Defect Detection & QA

Computer Vision for Manufacturing - Defect Detection & QA

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Cover image for 🚀 Excited to Continue Growing

🚀 Excited to Continue Growing in AI Data Annotation & Quality Assurance Over the past months, I’ve had the opportunity to work on various data annotation and quality assurance projects involving image and video datasets. Using tools such as CVAT and Labelbox, I’ve gained valuable experience in bounding boxes, object tracking, segmentation, data validation, and annotation review. Working on AI training datasets has strengthened my attention to detail, problem-solving abilities, and commitment to delivering high-quality results. Every project provides a new opportunity to learn and contribute to the development of more accurate and reliable AI systems. I’m always interested in connecting with professionals in AI, machine learning, computer vision, and data annotation. Feel free to reach out if you’d like to connect, collaborate, or discuss opportunities in this exciting field. #AI #DataAnnotation #QualityAssurance #ComputerVision #MachineLearning #CVAT #Labelbox #ArtificialIntelligence #DataLabeling #RemoteWork

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Cover image for 🚀 Scaling Your AI Models

🚀 Scaling Your AI Models or Data Operations? Let Our Team of 40 Handled the Heavy Lifting! Hey Contra Community! 👋 Are you struggling to keep up with massive datasets, messy annotations, or slow image verification pipelines? If you are an AI startup, tech agency, or enterprise looking for a reliable partner to handle high-volume data tasks, we are here to help! I manage a structured, fully trained team of 40 data annotation and QA specialists ready to deploy immediately. ⚙️ What We Bring to the Table: Massive Volume, Fast Delivery: With 40 people working in sync, we can process thousands of images, posts, or data rows daily without breaking a sweat. Flawless Quality Control: We don’t just annotate; we implement a strict internal QA layer to ensure 99%+ accuracy before final delivery. Versatile Expertise: Experienced in Image QA/Review (like matching AI outputs to inputs), Data Labeling (Bounding boxes, tagging), and Large-scale Data Entry (CSV/Sheets management). 💼 Flexible Setup: Whether you have a 1-week urgent sprint or need an ongoing monthly workforce, we scale according to your project requirements. Let's remove the bottleneck from your operations. DM me directly to discuss your project requirements or to set up a quick sample/pilot task! Let’s build something great together. 📈

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Cover image for Annotated computer vision datasets used

Annotated computer vision datasets used for vehicle detection and Automatic Number Plate Recognition (ANPR) systems. The project involved labeling vehicles and number plates in traffic camera footage to help train AI models used in smart city infrastructure, traffic monitoring, and law enforcement systems. Key responsibilities included: • Vehicle detection using bounding box annotation • Number plate annotation for ANPR systems • Dataset preparation for computer vision models • Annotation quality validation and dataset review These datasets support AI models used in traffic monitoring systems, automated toll collection, smart parking systems, and urban mobility analytics.

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Cover image for Precision Data Annotation for AV Perception

Precision Data Annotation for AV Perception

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Cover image for Human Detection Dataset

Human Detection Dataset

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Cover image for Project: Football Video Annotation and

Project: Football Video Annotation and Quality Assurance✅ Reviewing annotations to ensure consistency and compliance with project guidelines ✅ Identifying and correcting labeling errors ✅ Maintaining high-quality standards across large video datasets ✅ Supporting the development of computer vision models through reliable training data Projects like this continue to strengthen my expertise in data annotation, quality assurance, and AI training workflows. It is rewarding to contribute to datasets that help improve the performance of machine learning and computer vision systems. I’m always open to connecting with professionals and organizations working in AI, computer vision, data annotation, and quality assurance.

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Cover image for 🚀 Looking for Large-Scale Data

🚀 Looking for Large-Scale Data Annotation or Bulk Image QA Projects! Hello Contra Community! 👋 I manage a highly efficient, dedicated team of 40 experienced data annotation and visual QA specialists. We are fully equipped to handle bulk workloads with top-tier accuracy and fast turnaround times. What We Specialize In: 🖼️ Image QA & Review: Evaluating AI-generated outputs against source images (bounding boxes, tagging, and multi-outcome classification). 🏷️ Data Annotation & Labeling: Large-scale categorization, metadata tagging, and object recognition. 📋 Bulk Data Entry & Verification: Managing and organizing massive datasets seamlessly into structured formats (CSV, Sheets, etc.). Why Partner With Us? Scalability: With 40 trained specialists, we can scale up immediately to meet tight deadlines and high volumes. Quality Assurance: Dual-layer review process to ensure 99%+ accuracy before final delivery. Flexible Models: Ready for short-term pilot tasks or long-term ongoing contract operations. If your company, AI startup, or agency is looking to outsource large annotation or image vetting pipelines, let’s connect! DM me directly or invite us to your project. 💼 My email: k.nazish2924@gmail.com (mailto:k.nazish2924@gmail.com)

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Cover image for Annotated CT scan medical imaging

Annotated CT scan medical imaging datasets used to train AI models for healthcare diagnostics and medical image analysis. The project involved identifying and labeling anatomical regions within CT scan images using bounding boxes and segmentation techniques to support machine learning model training. Key tasks included: • Medical image annotation and region labeling • Bounding box annotation for anatomical structures • Dataset preparation for AI model training • Quality control and annotation validation This work supports the development of AI systems used in healthcare diagnostics, medical imaging analysis, and clinical decision support systems.

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Cover image for Marine Data Annotation

Marine Data Annotation

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Cover image for Wildlife Data Labeling

Wildlife Data Labeling

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Cover image for Annotated complex dental X-ray medical

Annotated complex dental X-ray medical imaging datasets used to train AI models for healthcare applications. The project involved precise labeling of anatomical structures including teeth boundaries, roots, and surrounding regions using polygon and keypoint annotation techniques. The objective was to generate high-quality training datasets that allow machine learning systems to accurately detect dental structures and support medical imaging analysis. Responsibilities included: • Image segmentation and polygon annotation • Keypoint labeling for anatomical structures • Dataset preparation for machine learning models • Annotation quality control and validation This work contributes to the development of AI systems used in medical diagnostics and healthcare imaging analysis.

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Cover image for Data Annotation Services for Multiple Clients

Data Annotation Services for Multiple Clients

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Cover image for Multi-Class Object Detection

Multi-Class Object Detection

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Cover image for "I performed pixel-perfect polygon segmentation on insect im...

"I performed pixel-perfect polygon segmentation on insect imagery for biological research. The goal was to create a high-quality dataset for YOLO-based detection models. I used CVAT to ensure every anatomical detail was accurately delineated, maintaining a consistent and clean output for AI training."

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