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I will build computer vision solutions using gan, cnn, rnn, and yolo
Junior Data Scientist Machine Learning Engineer
Haffizuddin is a data science and AI expert, passionate about turning raw data into powerful, actionable insights. With deep expertise in machine learning, natural language processing, and computer vi...
Informazioni su questo servizio
You've come to the right place if you're looking for the highest-quality Computer Vision and Image Processing solutions using Deep Learning. I have the expertise to revolutionize your project with computer vision applications such as object detection and image classification. I have worked on:
- Deep Learning architectures: CNN, RNN, LSTM, RCNN, Masked RCNN, Faster RCNN, and Transformers
- Frameworks: Keras, PyTorch, Tensorflow, JAX
- Applications: OCR, Facial Recognition, Image Classification, Image Processing, Image Segmentation, Activity Recognition, Object Detection, Object Tracking, Object Segmentation
- Stack & Skills: Bash, Python, C++, FastAPI, Flask, OpenCV, YOLO, Darknet, MediaPipe, OpenPose, Tesseract, Dlib, Stable Diffusion, DALL-E, MidJourney
Feel free to reach out if you have any inquiries or require further clarification.
Linguaggio di programmazione:
Python
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R
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MATLAB
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SQL
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Colab
Framework:
Scikit-learn
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DeepPy
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keras
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PyTorch
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Panda
Il mio portfolio
Altri servizi della categoria Data science e ML offerti da me
FAQ
What types of projects can benefit from your computer vision expertise?
Our computer vision solutions are versatile and applicable to various projects, including but not limited to OCR (Optical Character Recognition), facial recognition, image classification, image processing, image segmentation, activity recognition, object detection, object tracking.
Which deep learning architectures are you proficient in?
We are skilled in a wide range of deep learning architectures, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Region-based Convolutional Neural Networks (RCNN), Mask R-CNN, Faster R-CNN, and Transformers.
What frameworks do you use for implementing computer vision solutions?
We are proficient in popular deep learning frameworks such as Keras, PyTorch, TensorFlow, and JAX. These frameworks provide robust support for developing and deploying advanced computer vision models.
Can you handle both image and video processing tasks?
Absolutely! Our expertise extends to both image and video processing tasks. Whether you need real-time object detection in videos, activity recognition from video streams, or image enhancement techniques, we have the skills and tools to meet your requirements.
How do you ensure the quality and accuracy of your computer vision models?
We follow a rigorous approach to model development, including thorough data preprocessing, model training with appropriate techniques such as transfer learning, fine-tuning, and extensive validation and testing.
