I will do computer vision and image processing using opencv, yolo, ocr in python
Professional AI, ML, and Data Science Expert
About this Gig
Greetings
I am a Machine Learning & Computer Vision developer with hands on experience in Python, Deep Learning, and Image Processing. I have completed multiple projects using Jupyter Notebook and Google Colab with frameworks like OpenCV, YOLO, TensorFlow, Keras, and Scikit-learn.
What I Can Do for You
- Computer Vision & Image Processing
- Object detection (faces, vehicles, custom objects)
- Image segmentation (background removal, foreground extraction)
- Feature extraction (keypoints, descriptors)
- OCR (text extraction from images)
- Image enhancement and analysis
- Real-Time Video Processing
I can implement live video analysis solutions for:
- Surveillance systems
- Motion detection and tracking
- Real-time object detection
- Machine Learning & Deep Learning Services
- Data preprocessing & data visualization
- Model training and evaluation
- Custom ML/DL model development
- End-to-end solution design
Frameworks:
- Scikit-learn
- TensorFlow
- Keras
- Pandas
- OpenCV
- Others
Tools I Use:
- Jupyter Notebook
- Google Colab
- Python
After training the model, I can deploy it on websites or apps as per your requirements, ensuring smooth and efficient performance.
Please contact me before placing an order
Thanks
Programming language:
Python
•
SQL
•
Colab
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of computer vision projects can you handle?
I can work on object detection, image segmentation, OCR, face recognition, and feature extraction using Python, OpenCV, YOLO, TensorFlow, and Keras.
Can you improve and analyze images using Python?
Yes! I handle tasks like image filtering, edge detection, background removal, and shape or feature analysis with OpenCV and other Python libraries.
Do you create real-time video processing systems?
Absolutely! I develop applications such as motion tracking, live object detection, vehicle recognition, and surveillance systems using camera feeds.
How do you use deep learning in your projects?
I implement CNNs and deep learning models for image classification, object recognition, defect detection, and OCR, achieving high accuracy and reliable results.
Which file types and inputs can you work with?
I support JPEG, PNG, BMP, TIFF, as well as video frames or live camera input for image and video processing projects.
Can you deploy the trained models?
Yes! I can deploy models on websites, mobile apps (Android/iOS), cloud platforms (AWS/GCP), or edge devices based on your project requirements.
