🔭 I spent 2+ years at Forschungszentrum Jülich building deep-learning pipelines for photovoltaic electroluminescence defect detection
🌱 I'm currently learning advanced object tracking (SORT, DeepSORT, BoT-SORT, ByteTrack)
😄 Pronouns: he/him
⚡ Fun fact: I love turning messy, low-quality data into models that actually work!
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Image-Segmentation-UNet
Image-Segmentation-UNet PublicBinary and multi-class image segmentation using U-Net with TensorFlow/Keras.
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keras-functional-multichannel-regression
keras-functional-multichannel-regression PublicMulti-input house price prediction using the Keras Functional API by combining tabular features and image data into a unified deep learning model.
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Medical-Image-Segmentation-using-U-Net-ResUNet-and-DeepLabV3-
Medical-Image-Segmentation-using-U-Net-ResUNet-and-DeepLabV3- PublicImplementation and comparison of U-Net, ResUNet, and DeepLabV3+ for brain tumor semantic segmentation using PyTorch. Includes model architectures, evaluation metrics, training pipeline, and perform…
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Object-Detection-Faster-R-CNN-SSD300-YOLO11
Object-Detection-Faster-R-CNN-SSD300-YOLO11 PublicObject detection implementations including Faster R-CNN, SSD300, and YOLO11 with explanations of localization, bounding box regression, evaluation metrics, and training pipeline.
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Object-Tracking-with-ByteTrack-BoT-SORT-YOLO
Object-Tracking-with-ByteTrack-BoT-SORT-YOLO PublicA practical comparison of modern multi-object tracking algorithms (ByteTrack, and BoT-SORT) on football videos using SSD300 and YOLO object detectors.
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Transferlearning
Transferlearning PublicImage classification using Custom CNN and Transfer Learning with EfficientNetV2B1 on Intel Image and CIFAR-10 datasets.
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