You will get high-quality image segmentation service for your machine learning project.
Top Rated
Project details
Need precise image segmentation for your project? We offer high-quality, pixel-perfect segmentation for your datasets, tailored to your specific needs. Whether you're working with medical images, autonomous driving data, or other image types, our expert team will deliver detailed segmentation masks that enhance your model’s performance.
Key Features:
✅ Accurate pixel-wise segmentation for various objects
✅ Customizable annotations following your guidelines
✅ Fast turnaround with thorough QA review
✅ Formats: PNG, COCO, or as per your request
Perfect for training AI models in object detection, medical diagnosis, or scene understanding. Let us help you achieve flawless results!
Key Features:
✅ Accurate pixel-wise segmentation for various objects
✅ Customizable annotations following your guidelines
✅ Fast turnaround with thorough QA review
✅ Formats: PNG, COCO, or as per your request
Perfect for training AI models in object detection, medical diagnosis, or scene understanding. Let us help you achieve flawless results!
What's included $10
These options are included with the project scope.
$10
- Delivery Time 1 day
- Number of Revisions 1
- Model Documentation
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About Mazhar
Data Annotation Expert | Image Segmentation | AI Model Trainer
100%
Job Success
Peshawar, Pakistan - 2:17 am local time
Imagine spending thousands of dollars training an AI model—only to realize the labels were flawed. That’s where I come in.
I’m 𝗠𝗮𝘇𝗵𝗮𝗿 𝗨𝗱 𝗗𝗶𝗻, the founder of 𝗔𝗡𝗡𝗢𝗣𝗘𝗧𝗧, a data annotation and AI development agency trusted by AI startups and enterprises worldwide. With 4+ years of experience and a team of 178+ skilled annotators, I’ve personally led projects that helped train over 100 production-grade AI models—from medical image segmentation, agriculture dataset annotations, AI-based electric poles condition monitoring system to autonomous vehicle perception systems.
🌐𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗧𝗿𝘂𝘀𝘁 𝗠𝗲:
𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗟𝗲𝘃𝗲𝗹 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: I specialize in polygonal, pixel-wise, and semantic segmentation with an obsessive attention to detail.
𝗔𝗜-𝗔𝘄𝗮𝗿𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Unlike generic labelers, I understand the AI pipeline. I don’t just label—I label for performance. Every dataset is annotated with model training, accuracy, and edge-case handling in mind.
𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗦𝗰𝗮𝗹𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Delivered $500,000+ worth of labeled data to top AI companies (like Moonvalley, SaharLabs etc) with proven systems for scalability, security, and deadlines.
𝗖𝘂𝘀𝘁𝗼𝗺 𝗧𝗼𝗼𝗹𝘀, 𝗥𝗲𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Worked across CVAT, Labelbox, SuperAnnotate, Roboflow, and even client-specific proprietary tools.
🌐𝗦𝘁𝗼𝗿𝘆 𝗼𝗳 𝗚𝗿𝗼𝘄𝘁𝗵: What began as a solo freelancing gig on Fiverr has now become a global agency delivering AI-ready data for some of the most innovative companies on Earth. Now offering our services on Upwork as well.
🛠️𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿:
✦ Image & Video Segmentation (polygon, semantic, instance-based)
✦ Bounding Box, Keypoint & Landmark Annotation
✦ Text & Audio Annotation (multilingual available)
✦ Dataset Cleaning, Structuring & Preprocessing
✦ Consultancy on AI Dataset Design and Labeling Strategies
✦ AI Model Training and development
Image annotation, Bounding boxes, 3D boxes, Video annotation, instance and semantic, Object labeling/tagging,Segmentation, Polygons masks, Text annotation, Line annotation, Key Points annotation, Cuboids, Image classification and categorization.
Steps for completing your project
After purchasing the project, send requirements so Mazhar can start the project.
Delivery time starts when Mazhar receives requirements from you.
Mazhar works on your project following the steps below.
Revisions may occur after the delivery date.
Share Annotation Instructions
Please provide us with detailed guidelines for the task, including: 👉 The types of annotations required (e.g., bounding boxes, segmentation, labeling, etc.) 👉 Specific standards and formats to follow. 👉 Any additional instructions or examples.
Share the Dataset
Once we have the instructions, kindly share the dataset that needs to be annotated. Ensure all files are in the correct format and include any relevant metadata that could assist our team during the process.