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I will add gradcam explainability and visualization to your pytorch model
Saniya Khan
About this gig
Most deep learning models are black boxes they give you a prediction but no explanation. Grad-CAM fixes that by showing exactly which parts of the image drove the decision.
I've implemented Grad-CAM in two live projects:
Brain tumor segmentation shows which MRI regions the model flags as tumor
Flood detection from drone imagery highlights exactly where flooding is detected
Both are deployed and working right now on HuggingFace.
What I'll add to your model:
- Grad-CAM heatmap overlay on any PyTorch CNN
- Streamlit interface so non-technical users can explore results
- Clean documented code you fully own
Works with classification, segmentation, and detection models. If you're not sure Grad-CAM is the right fit, message me first.
Tech: PyTorch · Grad-CAM · OpenCV · Streamlit · Python
Get to know Saniya Khan
Saniya Khan
Computer Vision and AI Engineer
- FromPakistan
- Member sinceFeb 2024
- Avg. response time9 hours
Languages
English
I specialize in Computer Vision and Deep Learning using PyTorch. I build image segmentation systems, object detection models, and AI-powered web apps.
✅ Brain Tumor Segmentation (UNet, Attention UNet, Grad-CAM)
✅ Flood Area Segmentation (Drone Imagery)
✅ Streamlit Web Apps
I deliver clean, well-documented code with fast turnaround. Let's build something amazing!
FAQ
What type of models do you support?
I specialize in PyTorch CNN models including UNet and Attention UNet. Message me with your model details and I will let you know if I can help!
What is Grad-CAM and why do I need it?
Grad-CAM creates heatmaps showing which parts of an image your model focuses on. It helps you understand, trust and improve your model decisions.
Will I get a Streamlit app with the heatmaps?
Yes! Standard and Premium packages include a Streamlit web app where you can upload images and see Grad-CAM heatmaps instantly.
