Freelancers using Cvat
Freelancers using Cvat
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Prashant Chaudhary
Delhi, India
Helping companies build AI with high-quality data
New to Contra
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Helping companies build AI with high-quality data
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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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64
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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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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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Worked on Automatic Speech Recognition (ASR) dataset annotation used for training speech-to-text AI models. The project involved labeling and segmenting audio recordings, identifying speakers, and preparing structured datasets for machine learning systems. Key responsibilities included: • Audio segmentation and timestamp labeling • Speaker identification and classification • Speech-to-text dataset preparation • Annotation quality validation and review This dataset helps train AI systems used in voice assistants, speech recognition software, and conversational AI applications.
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91
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(3)
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Sanket Sabharwal, PhD
max
Genoa, Italy
Senior Software & ML Engineer | Zero to One Product Builder
$50k+
Earned
6x
Hired
5.0
Rating
45
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Senior Software & ML Engineer | Zero to One Product Builder
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Computer Vision for Manufacturing - Defect Detection & QA
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39
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Web Scraping Systems - Large-Scale Data Extraction Pipelines
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49
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BI Dashboards - Retail Analytics & Forecasting
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35
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Machine Learning for Recommendation Systems - Personalization
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21
Cvat
(1)
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Kelvin Muhia
Nairobi, Kenya
Web Designer | UI/UX Designer| Graphic Designer |
New to Contra
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Web Designer | UI/UX Designer| Graphic Designer |
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🚀 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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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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Q. How do you ensure annotation quality? A. Every dataset is reviewed for accuracy and consistency before delivery, following your labeling guidelines.
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Created a full e-commerce website UI design for Burger Hub, a premium burger restaurant. The project included a homepage, featured menu, about/story page, contact page and footer. Designed in Figma with a bold dark theme, red accents and modern food e-commerce layout." Skills to tag: Website Design UI/UX Design Figma E-Commerce Design Restaurant Website
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70
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(2)
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Khan Nakhat
Mumbai, India
Founder at NextGen Annotator | AI Data Annotation | QA.
New to Contra
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Founder at NextGen Annotator | AI Data Annotation | QA.
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🚀 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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🚀 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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Designed a premium brand wallpaper for Oz Golden Rush using Meta AI for custom assets and Canva for professional typography. The design focuses on a luxury aesthetic (Gold & Swiss watches) to align with the brand's identity as Australia's first mobile pawn broker.
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"I just finished building this Dynamic Task Tracker in Excel! 📊 To make project management easier, I’ve added: ✅ Visual Status: Green/Yellow/Red indicators for instant updates. ✅ Progress Bars: Automated bars to show task completion at a glance. ✅ Organized Workflow: Structured by priority and deadlines. If you need help organizing your business data or creating custom Excel dashboards, I’m available for new projects! 🚀"
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186
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(2)
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Bhimrao Yamulwad
Latur, India
AI Data Annotation and Professional Transcription Specialist
New to Contra
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AI Data Annotation and Professional Transcription Specialist
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AI Data Annotation & Data Labeling Portfolio
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35
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Audio & Video Transcription Portfolio
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23
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Python Automation & Data Analysis Portfolio
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37
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SQL Data Analysis & Database Queries Cover
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46
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Job Munene
Nairobi, Kenya
A specialist offering data annotation services.
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A specialist offering data annotation services.
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Precision Data Annotation for AV Perception
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6
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Marine Data Annotation
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4
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Data Annotation Services for Multiple Clients
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8
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(3)
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Juan Podazza
Mar del Plata, Argentina
Pixel-Perfect Annotation & Artistic Illustration
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Pixel-Perfect Annotation & Artistic Illustration
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Human Detection Dataset
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47
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Wildlife Data Labeling
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35
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Multi-Class Object Detection
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"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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44
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