I will build advanced computer vision deep learning models
Data Scientist, Machine Learning, Deep Learning
Informazioni su questo servizio
Do you need a custom Computer Vision solution? Are you looking to implement a complex CVPR/ICCV research paper or build a robust object detection system?
I am a Research-Focused Data Scientist specializing exclusively in Deep Learning for Computer Vision. Unlike generalist sellers, I focus on the pixel-perfect details of image processing, scientific rigour, and reproducible results.
My Tech Stack:
Frameworks: PyTorch (Expert), TensorFlow, Keras.
Models: YOLOv8/v9, U-Net, ResNet, Vision Transformers (ViT), Mask R-CNN, GANs.
Libraries: OpenCV, Albumentations, PIL, Scikit-Image.
Environment: Docker, Google Colab Pro, AWS EC2 GPU instances.
What I Can Build For You:
Object Detection: Detect cars, defects, people, or cells using YOLO or Faster R-CNN.
Image Segmentation: Precise pixel-level masking for medical tumors, satellite imagery, or fashion items (U-Net, DeepLab).
Image Classification: High-accuracy classification for sorting, medical diagnosis, or quality control.
Please message me with your dataset details before placing an order
Linguaggio di programmazione:
Python
Strumenti:
opencv
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tensorflow
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Colab
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PyTorch
Framework:
Scikit-learn
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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
Do you provide the Source Code?
Yes. I believe in full transparency. You will receive the complete Python source code (Jupyter Notebook or .py scripts), well-commented and easy to run. I do not hide anything.
Can you implement a specific research paper?
Yes. This is my specialty. Please share the PDF or Arxiv link with me first. I will review the methodology, assess the complexity, and confirm the feasibility of reproducing the results before you place an order.
Is my data safe with you?
Absolutely. Your data is your intellectual property. I will delete all datasets and models from my local machine 7 days after the order is completed. I am also happy to sign a Non-Disclosure Agreement (NDA).

