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What do I do?

I am the maintainer of the satellite-image-deep-learning Github repository and newsletter. Why do I do this? Humanity is battling a range of challenges including climate change and loss of biodiversity, and I believe the use of advanced techniques applied to satellite & aerial imagery will be instrumental in tackling these challenges. However getting started with these techniques is challenging and technically complex. My personal ambition is to produce material which enables more people to get started with applying these techniques to satellite & aerial imagery, and I regularly publish content on this topic.

Why sponsor my work?

By becoming a sponsor you make this work sustainable, and support me in my mission to help people get started applying deep learning to satellite & aerial imagery 🚀

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If you are interested in sponsoring the newsletter or getting social media coverage, please see my Sponsors info pack here.

Wish to place a job ad on the website or in the newsletter?

This website receives 7k visits per month, and the newsletter goes out to over 3k subscribers, so it is a great way to reach potential employees. Place your job ad on https://www.satellite-image-deep-learning.com/p/jobs for $20/month (see monthly tier), or have it featured in the newsletter for $100 (one-time tier)

Thank you for your support!

@robmarkcole

It would mean the world to me if I had 25 sponsors. 💖

Current sponsors 5

@Geoyi
@chrieke
@data4d
@EdSate
Private Sponsor
Past sponsors 16
@dturgel
@jaysbeekay
@mykolakozyr
@sanja7s
@ivelin
@RandomFractals
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@PeterPong
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Featured work

  1. robmarkcole/HASS-Deepstack-object

    Home Assistant custom component for using Deepstack object detection

    Python 440
  2. satellite-image-deep-learning/techniques

    Techniques for deep learning with satellite & aerial imagery

  3. robmarkcole/fire-detection-from-images

    Detect fire in images using neural nets

    Jupyter Notebook 399
  4. robmarkcole/mqtt-camera-streamer

    Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

    Python 239
  5. satellite-image-deep-learning/datasets

    Datasets for deep learning with satellite & aerial imagery

  6. robmarkcole/deepstack-ui

    UI for working with Deepstack

    Python 136

20% towards 25 monthly sponsors goal

@data4d @EdSate
@Geoyi @chrieke

data4d and 4 others sponsor this goal

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