Become a sponsor to Robin Cole
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 🚀
Want to sponsor the newsletter or receive social media coverage?
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!
Featured work
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robmarkcole/HASS-Deepstack-object
Home Assistant custom component for using Deepstack object detection
Python 433 -
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
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robmarkcole/fire-detection-from-images
Detect fire in images using neural nets
Jupyter Notebook 379 -
robmarkcole/mqtt-camera-streamer
Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite
Python 233 -
satellite-image-deep-learning/datasets
Datasets for deep learning with satellite & aerial imagery
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robmarkcole/deepstack-ui
UI for working with Deepstack
Python 134