You will get professional image annotation for AI and ML models
Project details
You will get a high-quality, ML-ready image annotation dataset created with accuracy and consistency. I have hands-on experience working on a large-scale project involving 53 videos and over 20,000 annotated images, which helped me build a reliable and efficient annotation workflow.
I handle the complete process including video to image frame extraction, image filtering, and manual annotation. All work is performed in a professional Anaconda-based annotation environment, launched via Anaconda Command Prompt to ensure stability and proper dependency management.
I focus strongly on data quality, clean labeling, and well-organized outputs that can be directly used for object detection, image classification, and computer vision models such as YOLO, TensorFlow, and PyTorch. Every dataset is reviewed carefully before delivery to ensure it meets real-world AI training standards.
If you are looking for accurate, consistent, and scalable image annotation, this project is designed to deliver reliable results.
I handle the complete process including video to image frame extraction, image filtering, and manual annotation. All work is performed in a professional Anaconda-based annotation environment, launched via Anaconda Command Prompt to ensure stability and proper dependency management.
I focus strongly on data quality, clean labeling, and well-organized outputs that can be directly used for object detection, image classification, and computer vision models such as YOLO, TensorFlow, and PyTorch. Every dataset is reviewed carefully before delivery to ensure it meets real-world AI training standards.
If you are looking for accurate, consistent, and scalable image annotation, this project is designed to deliver reliable results.
Machine Learning Tools
NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$5
|
Standard
$30
|
Advanced
$45
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 6 days |
Number of Revisions | 1 | 1 | 1 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $55
Extra 1,000 Bounding Boxes
(+ 1 Day)
+$5Frequently asked questions
About Mian
Mobile Application developer
Sargodha, Pakistan - 4:23 am local time
Languages: Java (Android), XML, SQL, HTML/CSS, JavaScript, ReactJS.
Frameworks & Platforms: Android Studio, Firebase (Authentication, Realtime Database, Firestore, Storage)
UI/UX Design: Material Design, Responsive Layouts, CardViews, Bottom Navigation, RecyclerViews
Tools & Technologies: Git, Firebase Console, Android Emulator, SQLite, Glide/Picasso (image loading)
App Components: Fragments, Activities, AlertDialogs, Custom Dialogs, DatePickers, ImageButtons, Spinners, Animations
📱 Project Highlights
PricePK
Firebase Authentication (Email/Password & Google Sign-In)
Realtime Database & Firestore for product/category data
Role-based access (User/Admin)
Features: Search, Category Filters, Profile Management, Bottom Navigation
Food Order Booking App
User Registration/Login
Order menu with images, prices
Data stored & retrieved from SQLite
UI: Toolbar Menu, RecyclerView, Fragments
Educational Utility App
Calendar-based DatePicker
Alert Dialogs for notifications
Animations and App Drawer
🎯 Core Competencies
Firebase integration from authentication to data storage
Designing user-friendly mobile interfaces
Implementing navigation structures (Fragments, Tabs, BottomNav, Drawer)
Real-time data syncing with Firebase
CRUD operations on both Firebase and SQLite
🧠 Strengths
Ability to build complete Android apps from UI to backend integration
Strong debugging and problem-solving skills
Passion for learning and implementing new Android features
Good understanding of data flow between components
Steps for completing your project
After purchasing the project, send requirements so Mian can start the project.
Delivery time starts when Mian receives requirements from you.
Mian works on your project following the steps below.
Revisions may occur after the delivery date.
Project Review & Setup
Review client data and guidelines, confirm classes, output format, and prepare the Anaconda-based annotation environment.
Video to Image Extraction
Extract high-quality image frames from videos, remove duplicates and blurry frames, and organize data properly.