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Achievement: Pull Shark

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Achievement: Pull Shark

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  1. zero-shot-insect-detection zero-shot-insect-detection Public

    Evaluate zero-shot vision-language models (GroundingDINO, SAM3, OWL-ViT) for detecting insects in ecological camera trap images, compared against supervised YOLO baselines.

    Jupyter Notebook 1

  2. cs_bachelor_thesis cs_bachelor_thesis Public

    Files about the project of my bachelor thesis "Pose estimation to classify and evaluate staticbodyweight exercises".

    Jupyter Notebook 1

  3. ipcv-assignments-24-25 ipcv-assignments-24-25 Public

    Jupyter notebooks developed for the practical part of the Image Processing and Computer Vision (IPCV) exam (First Year, Artificial Intelligence curriculum, University of Bologna - Unibo)

    Jupyter Notebook

  4. deep-learning-pw deep-learning-pw Public

    Benchmarking MobileNetV3 and MobileNetV4 on wildlife camera images for metereological image classification

    Jupyter Notebook 1

  5. ai4med-retinopathy ai4med-retinopathy Public

    Project for the AI for Medicine course 2025/2026, University of Bologna (UNIBO)

    Jupyter Notebook

  6. CDMO-STS CDMO-STS Public

    Modelling & solving the Sports Tournament Scheduling (STS) problem

    Python

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