You will get annotated images with bounding boxes, polygons, and segmentation
Project details
I provide high-quality image and video annotation services for AI and machine learning projects. Whether you need bounding boxes, polygon masks, semantic segmentation, keypoint detection, or object tagging — I deliver precise, consistent, and scalable annotations tailored to your dataset.
I work with all major annotation tools including Labelbox, CVAT, Roboflow, and Make Sense, and export in any format — YOLO, COCO, Pascal VOC, and more.
What sets me apart is my strong attention to detail, fast turnaround, and ability to follow custom labeling guidelines accurately. I have experience annotating images for object detection, autonomous driving, medical imaging, retail, and satellite data projects.
Every delivery is quality-checked to ensure your training data is clean, accurate, and ready to use. I communicate regularly and make revisions until you are fully satisfied.
I work with all major annotation tools including Labelbox, CVAT, Roboflow, and Make Sense, and export in any format — YOLO, COCO, Pascal VOC, and more.
What sets me apart is my strong attention to detail, fast turnaround, and ability to follow custom labeling guidelines accurately. I have experience annotating images for object detection, autonomous driving, medical imaging, retail, and satellite data projects.
Every delivery is quality-checked to ensure your training data is clean, accurate, and ready to use. I communicate regularly and make revisions until you are fully satisfied.
AI Development Type
Deep Learning, Model TuningAI Tools
OpenCVAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
About Saad
Data Scientist | Image Lableing & Data Annotation | AI & ML
Islamabad, Pakistan - 11:39 pm local time
Whether you need datasets annotated for AI training, data collected from the web, a repetitive workflow automated, or a machine learning model built — I can help.
🔹 Data Annotation & Image Labeling
I provide accurate and consistent annotation for computer vision and AI/ML projects, following detailed guidelines and delivering clean datasets that improve model performance.
✅ Image & video annotation
✅ Bounding boxes, polygons, keypoints & polylines
✅ Data tagging, classification & dataset preparation
✅ Output in YOLO, COCO, Pascal VOC, CSV or client formats
✅ Tools: Roboflow, Labelbox, CVAT, LabelImg, Label Studio
✅ High accuracy with strict attention to annotation guidelines
🔹 Web Scraping & Data Extraction
I scrape data from websites of all kinds — including heavily protected ones — and deliver it in clean, structured formats ready for use.
✅ Selenium & SeleniumBase with UC Mode (anti-bot bypass)
✅ Large-scale scraping pipelines
✅ Output to CSV, JSON, Excel, or databases
✅ Dynamic sites, pagination, login-based scraping
✅ Proxy integration & rate limiting handling
🔹 Python Automation
I build tools that eliminate repetitive manual work — browser automation, desktop apps, multi-account workflows, and more.
✅ Browser & desktop automation with Python
✅ Form filling, data entry automation
✅ Packaged desktop applications (PyInstaller + NSIS)
✅ Firebase & database integration
✅ Scheduled & background task automation
🔹 Data Science & Machine Learning
I work across the data pipeline — from raw data to trained models.
✅ Data cleaning, transformation & ETL pipelines
✅ Classification, clustering & time-series forecasting
✅ Computer vision — object detection & image annotation
✅ Deep learning with TensorFlow & PyTorch
✅ Dataset preparation (YOLO, COCO formats)
🧠 Tools & Stack
Python · Selenium · SeleniumBase · Scrapy · Pandas · NumPy · Scikit-learn · TensorFlow · PyTorch · Firebase · SQL · Tkinter · PyInstaller · FastAPI · Docker · Roboflow · Labelbox · CVAT
⭐ Why Clients Work With Me
✔️ I give honest timelines and stick to them
✔️ I flag problems early instead of going quiet
✔️ I've shipped real production software, not just scripts
✔️ Clear communication throughout the project
✔️ Available for both short tasks and long-term work
Steps for completing your project
After purchasing the project, send requirements so Saad can start the project.
Delivery time starts when Saad receives requirements from you.
Saad works on your project following the steps below.
Revisions may occur after the delivery date.
Review & Understand Requirements
Review the images, annotation type, format, and labeling guidelines shared by the client.
Set Up Annotation Tool
Set up the preferred tool (Labelbox, CVAT, Roboflow, etc.) and configure classes and labels.