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Achievement: Starstruckx2Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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jasonmanesis/README.md

I am a Geoinformatics Engineer specializing in applied deep learning techniques for earth observation applications. My expertise lies primarily on developing efficient operational pipelines for various earth observation tasks, and I’m involved in both academic and research roles, particularly in remote sensing and computer vision.
Languages and Tools:

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

ML/DL Frameworks:

Detectron PyTorch PyTorchL scikit-learn TensorFlow Keras opencv

Pinned Loading

  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 111 15

  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.

    418 67

  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 18 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