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Highlights
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Efficient-Vision-Transformer-for-Object-Recognition
Efficient-Vision-Transformer-for-Object-Recognition PublicImplemented a Vision Transformer (ViT) model with multi-head self-attention layers, delivering an 85% classification accuracy and mean IOU of 0.82 for object detection. The architecture optimizatio…
Jupyter Notebook
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Seismic-Image-Segmentation-using-UNet
Seismic-Image-Segmentation-using-UNet PublicDeveloped a custom U-Net architecture with Binary Cross-entropy, focal, and dice losses for accurate salt region segmentation, outperforming ResNet 50, ResNet 101, and VGG16 with fewer parameters, …
Jupyter Notebook 1
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Segmentation-of-Renal-Stones-using-Image-Processing-and-CNN
Segmentation-of-Renal-Stones-using-Image-Processing-and-CNN PublicLeveraged image processing in Kidney Stone identification, combining Convolutional Neural Network with Canny edge detection and power-law transformations for 90% accuracy on test data, and enhancin…
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