I will train a CNN deep learning model on your image dataset
Data Scientist, Machine Learning, Deep Learning
About this Gig
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
APIs:
Microsoft Computer Vision AI
Programming language:
Python
Tools:
OpenCV
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TensorFlow
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Colab
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PyTorch
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda

