PeliCAM
A PyQt-based desktop app for visualizing deep learning model explanations with CAM, LIME, and bounding boxes.
A PyQt-based desktop app for visualizing deep learning model explanations with CAM, LIME, and bounding boxes.
PeliCAM is a PyQt-based desktop app for visualizing deep learning model explanations using CAM, layer-based views, and LIME. It lets users load images, run predictions, and highlight key regions with heatmaps and overlays.
A key feature of PeliCAM is its flexibility—you can integrate any custom PyTorch model, making it adaptable to various tasks and datasets. With interactive, tabbed outputs, it helps users better understand model behavior.
Download the PeliCAM Manual (PDF).
PeliCAM was developed at DRDO DYSL-CT by:
Part of research in Explainable AI (XAI).
