You will get Advanced Computer Vision & Deep Learning Solutions with YOLO(YOLOv3–YOLOv9)
Project details
Advanced Computer Vision Solutions with YOLO:
Hello, I’m Pradeeba and I have 7 years of experience in computer vision, embedded Linux, and deep learning. I specialize in delivering high-performance, real-time object detection and recognition systems using the YOLO framework. Whether you're building industrial automation, biomedical imaging, or smart surveillance solutions, I provide tailored systems that combine precision, speed, and scalability.
Core Technologies
✅ YOLOv3–YOLOv9, YOLO-NAS
✅ TensorFlow, PyTorch, OpenCV
✅ LangChain, BERT, GPT, Gemini
✅ SAM (Segment Anything Model)
Key Services
✅ Custom YOLO model training
✅ Object detection, tracking, and counting
✅ Semantic segmentation and face/emotion recognition
✅ Biomedical image processing and interior segmentation
✅ Sports analytics
Tools & Platforms
✅ Anaconda, Google Colab, Jupyter Notebook
✅ MMDetection, MMSegmentation, Hugging Face Transformers
✅ Pandas, Matplotlib, Scikit-learn
Hello, I’m Pradeeba and I have 7 years of experience in computer vision, embedded Linux, and deep learning. I specialize in delivering high-performance, real-time object detection and recognition systems using the YOLO framework. Whether you're building industrial automation, biomedical imaging, or smart surveillance solutions, I provide tailored systems that combine precision, speed, and scalability.
Core Technologies
✅ YOLOv3–YOLOv9, YOLO-NAS
✅ TensorFlow, PyTorch, OpenCV
✅ LangChain, BERT, GPT, Gemini
✅ SAM (Segment Anything Model)
Key Services
✅ Custom YOLO model training
✅ Object detection, tracking, and counting
✅ Semantic segmentation and face/emotion recognition
✅ Biomedical image processing and interior segmentation
✅ Sports analytics
Tools & Platforms
✅ Anaconda, Google Colab, Jupyter Notebook
✅ MMDetection, MMSegmentation, Hugging Face Transformers
✅ Pandas, Matplotlib, Scikit-learn
Machine Learning Tools
Amazon SageMaker, BERT, Databricks MLflow, GitHub Copilot, Keras, MATLAB, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, PyTorch, R, scikit-learn, SciPy, SQL, Tableau, TensorFlowWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 3 days
- Number of Revisions 5
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Pradeeba
Data Science| AI&ML| Deep Learning| Computer Vision| LLMs
Chennai, India - 12:06 pm local time
I’m proficient in object classification using YOLO models. I have hands-on experience with all major YOLO versions, including YOLOv1, YOLOv5, YOLOv7, YOLOv8 and YOLO11.
I’ve worked with PoseNet, and MoveNet for action recognition.
My computer vision work involves OpenCV, SLAM, TensorFlow, PyTorch, ONNX, CUDA, TensorRT, OpenVINO, and NPUs. I use Albumentations for image augmentation, DeepSORT and SORT for object tracking, and perform image preprocessing and camera calibration for robotics and embedded systems.
Steps for completing your project
After purchasing the project, send requirements so Pradeeba can start the project.
Delivery time starts when Pradeeba receives requirements from you.
Pradeeba works on your project following the steps below.
Revisions may occur after the delivery date.
Object Detection Project
Define Project Requirements Collect and Prepare Dataset Train the Model Optimize and Fine-tune & Deploy Model Iterate & Improve