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I will build your computer vision project
India
Affordable Computer Vision Solutions for Students and Startups
About this Gig
Need a powerful computer vision solution for your project or prototype?
I'm Atanu Debnath, a Computer Vision Engineer with hands-on experience building real-time computer vision applications using Python, OpenCV, PyTorch, and TensorFlow. I help students and startups bring AI powered ideas to life fast, efficient, and ready to deploy.
Services:
Image Processing, Image Classification, Object Detection, Object Tracking, Image Segmentation
Algorithms:
ResNet MobineNet, VGG Faster R-CNN YOLO SSD UNet DeepLabV3+ MoveNet, HRNet Custom Models
Libraries & Tools:
OpenCV Tensorflow PyTorch, ONNX
For project discussion or deployment, a Zoom meeting might be needed.
Programming language:
Python
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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CVAT
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Colab
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PyTorch
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Other
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
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Other
My Portfolio
FAQ
What information do you need before starting a project?
I need a clear project description, sample data (images/videos), expected output, and preferred model type (if any). If you're unsure, I can help define the pipeline.
Can you help me choose the right model for my project?
Yes. Based on your use case (speed vs accuracy, edge vs cloud), I will suggest the most suitable model like YOLO, SSD, UNet, etc.
Do you provide complete end-to-end solutions?
I can handle everything from data preprocessing, annotation guidance, model training, optimization (ONNX), and inference pipelin
Will the solution run in real-time?
Yes, depending on your hardware. I optimize models for real-time performance (especially for edge devices like Raspberry Pi, Jetson, etc.).
Do you work with custom datasets?
I can train and fine-tune models on your custom dataset and also help with dataset formatting (COCO, YOLO, Pascal VOC).
Can you help with college projects?
Yes. I specialize in helping students build strong, practical computer vision projects with proper explanations and documentation.
Will you explain the code and model?
I can provide step-by-step explanations so you understand the project (very useful for viva/presentation).
Do you provide ONNX or optimized models?
Yes. I convert models to ONNX and optimize them for faster inference (CPU/GPU/Edge).
Do you support object tracking?
Yes. I implement tracking (e.g., SORT/DeepSORT) for use cases like counting, surveillance, and analytics.
What frameworks do you use?
I primarily use Python, OpenCV, PyTorch, TensorFlow, and ONNX Runtime.
