You will get trained yolov8, yolov9 on custom dataset and semantic Segmentation
Rising Talent
Rising Talent
Project details
As a computer vision and deep learning expert, I specialize in using YOLO (You Only Look Once) to offer top-tier solutions for semantic Segmentation, object detection, tracking, image semantic segmentation, counting, and recognition. My services include custom YOLO model training and seamless integration, delivering accurate and efficient results tailored to your specific needs.
Services:
YOLOv3, YOLOv5, YOLOv6, YOLOv8, YOLOv9, and YOLO-NAS
Semantic segmentation
Train yolov8, yolov9 model
Custom YOLO Model Training
Precise Object Identification and Recognition
Face Detection and Recognition
Fine-tuning & Optimization
custom object detection
Real-time object tracking
Real-time Object Tracking
pose estimation
Emotions Recognition
Tools & Platforms: Anaconda, Google Colab, Jupyter Notebook, Pandas, TensorFlow, and OpenCV
Yolo versions.
YOLOv3, YOLOv5, YOLOv6, YOLOv8, YOLOv9, and YOLO-NAS
Computer Vision, Image processing
#ComputerVision #DeepLearning #yolov9 #yolov8 #objectdetection #object recognition #facialrecognition #imagerecognition #yolo #CNN #RCNN
Services:
YOLOv3, YOLOv5, YOLOv6, YOLOv8, YOLOv9, and YOLO-NAS
Semantic segmentation
Train yolov8, yolov9 model
Custom YOLO Model Training
Precise Object Identification and Recognition
Face Detection and Recognition
Fine-tuning & Optimization
custom object detection
Real-time object tracking
Real-time Object Tracking
pose estimation
Emotions Recognition
Tools & Platforms: Anaconda, Google Colab, Jupyter Notebook, Pandas, TensorFlow, and OpenCV
Yolo versions.
YOLOv3, YOLOv5, YOLOv6, YOLOv8, YOLOv9, and YOLO-NAS
Computer Vision, Image processing
#ComputerVision #DeepLearning #yolov9 #yolov8 #objectdetection #object recognition #facialrecognition #imagerecognition #yolo #CNN #RCNN
Machine Learning Tools
BERT, ChatGPT, Microsoft Excel, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$480
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code | - | - |
Frequently asked questions
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AS
Abdul S.
Aug 20, 2024
AI: Count the bundle of pipes and mark them numbers and diameter of each pipe in that bundle
Excellent
About Muhammad
AI Data Annotation & Labeling Specialist | Semantic Segmentation
Ahmadpur Sial, Pakistan - 7:32 pm local time
Stop wasting weeks on model retraining due to poor labels. I provide 99.9% accurate data annotation and data labeling services that eliminate "garbage-in, garbage-out" errors. Whether you are building autonomous driving systems, medical AI (MRI/CT/DICOM), or retail analytics, I deliver pixel-perfect object detection and segmentation datasets.
My Quality Guarantee as a Data Annotation Lead:
Every data labeling batch undergoes multi-stage manual audit for 100% adherence to your guidelines. I verify all exports (YOLO, COCO JSON, Pascal VOC, XML) in target environments for immediate import-readiness.
Specialized Data Annotation Workflows:
* Semantic Segmentation & Instance Segmentation: Pixel-perfect masks using polygons and brushes for complex object boundaries
* Object Detection: High-speed bounding boxes for YOLO (v5 through v11) and Pascal VOC
* 3D Point Cloud & LiDAR: Precise cuboid placement and 3D segmentation for sensor fusion
* Video & Temporal Tracking: Frame-by-frame annotation with consistent object IDs
*Keypoint & Landmark: Sub-pixel accuracy for pose estimation (facial, hand, full-body)
Industry-Specific Data Labeling Solutions:
* Medical AI: MRI, CT, X-Ray, Ultrasound (HIPAA-aware workflows)
* Retail Data Quality: SKU-level tagging, smart shelf annotation, product recognition
* Sports Analytics: Player tracking, ball detection, pose estimation, field segmentation
* Electronics & Schematics: PCB annotation, component labeling, circuit diagram segmentation
* Automotive: Lane detection, pedestrian tracking, edge-case scenarios for ADAS
* Agriculture/GIS: Aerial mapping, crop health analysis, polygon annotation
Tools I Master for Data Annotation:
CVAT, Label Studio, Labelbox, Roboflow. I can master your proprietary platform within 24 hours.
Formats I Deliver for Every Object Detection Project:
YOLO (v8-v11), COCO JSON, Pascal VOC XML, CSV, and custom formats.
I am built for scale — 100 images or 100,000. I maintain strict accuracy standards and meet every deadline. Whether you need semantic segmentation, instance segmentation, or object detection, your data labeling is the strongest part of your pipeline.
Ready to clean your training data? Click "Message" to discuss your project or request a free sample task.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation
Gather and preprocess the necessary data for object detection and tracking.
Model Development
Train and fine-tune YOLOv8/YOLOv9 models on the prepared dataset.