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I will do professional roboflow image annotation for computer vision ai models
Mashal Zahra
About this gig
I'm Mashal, an image annotation specialist focused on computer vision and AI training data. I help startups and researchers build accurate, well-structured datasets using Roboflow covering bounding box labeling, polygon annotation, semantic segmentation, and instance segmentation. I work with YOLO, COCO, and Pascal VOC formats and handle everything from raw images to export-ready datasets. My approach is detail-oriented: every annotation is manually reviewed before delivery, no shortcuts. If you need clean training data that actually improves model performance, let's talk.
Get to know Mashal Zahra
Mashal Zahra
AI and Computer Vision Engineer
- FromPakistan
- Member sinceJan 2026
Languages
Pashto, Urdu, English
Hi, I'm Mashal Zahra, an AI & Computer Vision Engineer specializing in Python, OpenCV, YOLO, PyTorch, TensorFlow, and Roboflow. I build end-to-end AI solutions, from dataset collection, annotation, cleaning, and preprocessing to training models for image classification, object detection, and segmentation. I also develop image processing and AI-powered web apps by integrating trained models into user-friendly interfaces. I deliver accurate, scalable, and high-quality solutions with clear communication and on-time delivery. Here is the link of my portfolio!
https://emerald-ami-20.tiiny.site/
Other AI Development Services I Offer
FAQ
What do you need from me to start the order?
Please share your images (via Google Drive, Roboflow link, or ZIP), your class names, preferred annotation type (bounding box, polygon, segmentation), and target format (YOLO, COCO, etc.). The more detail you provide upfront, the faster I can start.
Which annotation formats do you support?
I support YOLO (v5/v8), COCO JSON, and custom formats. If you need a specific export format not listed, message me before ordering — I can usually accommodate it.
Can you deliver faster if needed?
Yes. Rush delivery is available for the Basic package (24-hour turnaround) as a gig extra. For larger datasets, message me to discuss expedited timelines before ordering.
How do you ensure annotation accuracy?
Every dataset goes through manual quality review before delivery. I check for label consistency, class naming, and annotation coverage. No auto-labeling shortcuts — every annotation is human-reviewed.
Will my data stay confidential?
Absolutely. Your images and project details are kept strictly confidential. I do not share, reuse, or publish client data in any form. If you require an NDA, please mention it before placing your order.
Do you offer support after delivery?
Yes. Revisions are included in every package. If you notice any inconsistencies or need format adjustments after delivery, I'll fix them within the revision limit at no extra cost.
Can you handle custom annotation guidelines or unusual image types?
Yes, custom orders are welcome. Message me with your labeling instructions, annotation schema, and image examples. I'll review the scope and confirm before you place the order.
