You will get Image annotation Bounding Box Polygon Key Points Object Detection Tracking
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Project details
š Precision Bounding Box Annotation for Object Detection & Tracking (AI/ML/CV Training Data)
Need high-quality bounding box annotations, image annotations, data labeling to train object detection, semantic segmentation, recognition, or tracking models (YOLO)? Scalable, and cost-effective data labeling for computer vision machine learning projects
ā Annotation Services:
ā 2D Bounding Boxes ā object localization, Object detection
ā Multi-Class Labeling ā Categorizing objects
ā Video Annotation (Frame-by-Frame Tracking) ā Object tracking in surveillance, sports analytics (Soccer, Football, Hocky), autonomous driving
š ļø Tools & Formats:
Label Studio, CVAT, Roboflow, LabelImg, VGG Image Annotator (VIA)
COCO JSON, YOLO, XML, Pascal VOC, TFRecord, CSV, Mask R-CNN
š„ Why Choose Me?
Scalable solutions for large datasets
Experience in medical imaging, autonomous vehicles, retail, agriculture, security, satellite imagery
#BoundingBoxAnnotation #ObjectDetection #ObjectTracking #ImageLabeling #VideoTracking #YOLOAnnotation #AITrainingData #ComputerVision #MachineLearning #DataLabeling #ImageAnnotation #VideoAnnotation #AutonomousVehicles #YOLO #COCO #CVAT #Roboflow #LabelStudio #YOLOv8
Need high-quality bounding box annotations, image annotations, data labeling to train object detection, semantic segmentation, recognition, or tracking models (YOLO)? Scalable, and cost-effective data labeling for computer vision machine learning projects
ā Annotation Services:
ā 2D Bounding Boxes ā object localization, Object detection
ā Multi-Class Labeling ā Categorizing objects
ā Video Annotation (Frame-by-Frame Tracking) ā Object tracking in surveillance, sports analytics (Soccer, Football, Hocky), autonomous driving
š ļø Tools & Formats:
Label Studio, CVAT, Roboflow, LabelImg, VGG Image Annotator (VIA)
COCO JSON, YOLO, XML, Pascal VOC, TFRecord, CSV, Mask R-CNN
š„ Why Choose Me?
Scalable solutions for large datasets
Experience in medical imaging, autonomous vehicles, retail, agriculture, security, satellite imagery
#BoundingBoxAnnotation #ObjectDetection #ObjectTracking #ImageLabeling #VideoTracking #YOLOAnnotation #AITrainingData #ComputerVision #MachineLearning #DataLabeling #ImageAnnotation #VideoAnnotation #AutonomousVehicles #YOLO #COCO #CVAT #Roboflow #LabelStudio #YOLOv8
Machine Learning Tools
Google AutoML, Google Data Studio, Google Sheets, Microsoft Excel, OpenCV, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$90
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 2 | 3 | 4 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Model Validation/Testing
(+ 5 Days)
+$150
Model Documentation
(+ 2 Days)
+$50
18 reviews
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JM
John M.
Nov 30, 2025
Identify or develop YOLO model for object detection
Muhammad is a YOLO model building expert. He was very helpful and responsive. Would hire again.
AA
Ahmed A.
Jun 30, 2025
Image Annotation Expert Needed for Soccer Game Video Clips
The annotation work was precise and well organized. He showed deep expertise in CVAT and handled complex labeling tasks with ease. Highly professional and reliable ā stronglyĀ recommended!
AA
Ahmed A.
Jun 12, 2025
Data Annotator Needed to Label Road Debris in Images (Video Frames Annotation)
Highly skilled and reliable expert. Delivered precise, well-organized annotations with great attention to detail. Communicated clearly and met all deadlinesāhighly recommended!
MB
Mikhial B.
Apr 14, 2025
Tree annotations
FS
Francisco S.
Dec 8, 2024
Facial Recognition to Attendance Management System
Waqas demonstrated exceptional expertise in developing a Face Recognition-Based Attendance System, integrating real-time facial recognition, a secure database, and a user-friendly interface. His professionalism, technical skills in OpenCV and computer vision, and dedication to client satisfaction were outstanding.
About Muhammad Tariq
AI Dev| Semantic Segmentation| Object Detection/ Tracking/ Recognition
100%
Job Success
Lodhran, PakistanĀ - 2:41 am local time
My passion lies in leveraging these advanced technologies to transform ideas into impactful solutions that enhance business insights and influence organizational decision-making. These technologies have significant applications in various fields, including medical imaging, autonomous vehicles, fashion, inventory management, and satellite imagery analysis.
š¼ Services: Image Semantic Segmentation, Custom Object Detection, Real-time Object Tracking, Object Recognition, Facial Recognition, Emotion Recognition, Artificial Intelligence, Computer Vision / Image Processing, Machine Learning (ML) / Deep Learning (DL), Biomedical Image Processing, Generative AI / Generative models
š” Expertise (Computer Vision OpenCV):
- Visual recognition, Gesture recognition
- Object Detection YOLO SSD & object tracking DeepSort
- Custom Object Detection, Real-time Object Tracking, Object Recognition
- Automatic Number Plate Recognition utilizing Object Detection YOLO
- Real-Time Pose Estimation using OpenCV MediaPipe
- Vehicle detection and tracking on live video (YOLOv9 + Bytrack)
- Very small object detection like Insect detection in a garden using YOLOv9
- Objects detection and counting taking from vending machines
- Feature Extraction, Pattern Recognition, Regression
- Disease Diagnosis/Detection, Disease classification
- Semantic Segmentation, Image Segmentation
- Vision Transformers for semantic segmentation (VITs, Segformer, Swin Transformer, etc.)
- Remote Sensing Imagery and Areal Imagery Semantic Segmentation
š¤ Machine Learning / Deep Learning:
- Expertise in Deep Learning models including YOLOv8, YOLOv9, SSD, ViTs, DeepLabV3+, CNN, and GANs
- Proficient in Training/Testing Machine Learning Models, model evaluation, and deployment
- Skilled in Transfer Learning and Fine-tuning of Pre-trained Models on custom datasets
- Comprehensive knowledge in Supervised / Unsupervised Learning and Convolutional Neural Networks (CNN)
š ļø Tools: Python (PyTorch, TensorFlow, NumPy, PyCharm, Jupyter, Kaggle, Colab), Libraries (OpenCV, Hugging Face, Mmsegmentation, MmDetection, NumPy, Keras, Pandas, Scikit Learn, Matplotlib, etc.)
#AIDeveloper #ImageSemanticSegmentation #objectDetection #CustomObjectDetection #RealTimeObjectTracking #ObjectTracking #ObjectRecognition #FacialRecognition #EmotionRecognition #YOLO #YOLOv8 #YOLOv9 #SSD #Bytrack #DeepSort #VisionTransformers #ViTs #Segformer #SwinTransformer #DeepLabV3Plus #UNet #MedicalImaging #AutonomousVehicles #Fashion #InventoryManagement #SatelliteImageryAnalysis #ArtificialIntelligence #ComputerVision #ImageProcessing #MachineLearning #DeepLearning #BiomedicalImageProcessing #GenerativeAI #GenerativeModels
AI Developer, image semantic segmentation, custom object detection, real-time object tracking, object recognition, YOLOv8, YOLOv9, SSD, DeepSort, vision transformers, ViTs, Segformer, Swin Transformer, medical imaging, autonomous vehicles, fashion, inventory management, artificial intelligence, computer vision, image processing, machine learning, deep learning, biomedical image processing, OpenCV, semantic segmentation, image segmentation, aerial imagery semantic segmentation, visual recognition, gesture recognition, automatic number plate recognition, real-time pose estimation, OpenCV MediaPipe.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Tariq can start the project.
Delivery time starts when Muhammad Tariq receives requirements from you.
Muhammad Tariq works on your project following the steps below.
Revisions may occur after the delivery date.
Working on the project
Once we have a clear understanding and agreement on the project details outlined above, I will immediately begin working on your annotation task. You can expect consistent communication and high-quality results.