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Achievement: Starstruckx2Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw
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jasonmanesis/README.md

Results-oriented Geoinformatics Engineer with a solid academic background and experience in applied Deep Learning techniques for various earth observation applications. Proven ability to implement efficient operational pipelines for object detection, semantic segmentation and instance segmentation tasks.
Languages and Tools:

Python Matlab Markdown LaTeX weightsandbiases Git GitHub Jupyter Notebook googlecolab Anaconda Linux Windows

ML/DL Frameworks:

Detectron PyTorch scikit-learn TensorFlow Keras opencv

Pinned

  1. Ship-Detection-on-Remote-Sensing-Synthetic-Aperture-Radar-Data Ship-Detection-on-Remote-Sensing-Synthetic-Aperture-Radar-Data Public

    Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.

    Jupyter Notebook 91 12

  2. Satellite-Imagery-Datasets-Containing-Ships Satellite-Imagery-Datasets-Containing-Ships Public

    A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

    347 63

  3. Wildfire-Smoke-Detection Wildfire-Smoke-Detection Public

    Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.

    Jupyter Notebook 16 2

  4. Vehicle-Navigation-Shortest-Path Vehicle-Navigation-Shortest-Path Public

    Shortest path calculation and route plotting, in interactive Folium map, based on NetworkX's Dijkstra's pathfinding algorithm.

    Jupyter Notebook 7