https://deeplearning.earth/tags/ships/Recent content in Ships on DeepLearning.EarthHugo -- gohugo.ioen-usThu, 16 Nov 2023 15:11:48 +0000https://deeplearning.earth/posts/2023-11-16_detecting_ships_in_satellite_imagery_five_years_later/Thu, 16 Nov 2023 15:11:48 +0000https://deeplearning.earth/posts/2023-11-16_detecting_ships_in_satellite_imagery_five_years_later/Context Link to heading In 2018, when I was still working at Airbus Defence and Space, I organised a challenge on Kaggle to detect ships in Airbus SPOT satellite imagery (@ 1.5 meters resolution). Home page of the Airbus Ship Detection Challenge on Kaggle Check my article about the successes and issues that we encountered. That’s a whole story in itself! One of the interesting characteristics of the challenge was the oriented bounding boxes annotations.https://deeplearning.earth/posts/2020-03-08_important-things-you-should-know-before-organizing-a-kaggle-competition/Sun, 08 Mar 2020 20:45:30 +0000https://deeplearning.earth/posts/2020-03-08_important-things-you-should-know-before-organizing-a-kaggle-competition/Lessons Learned from the Airbus Ship Detection Challenge Link to heading In 2018, my team at Airbus Defence and Space Intelligence and I organized a machine learning challenge on the well-known Kaggle platform (see https://www.kaggle.com/c/airbus-ship-detection). At the time, there were discussions internally about the interest of such an initiative, the concrete benefits that we could gain from it, and the potential risks of open-sourcing our imagery. One year later, we have no doubt that it was worth it.