https://deeplearning.earth/tags/aircraft/Recent content in Aircraft on DeepLearning.EarthHugo -- gohugo.ioen-usMon, 02 Jan 2023 15:11:48 +0000https://deeplearning.earth/posts/2023-01-02_how-to-choose-a-deep-learning-architecture-to-detect-aircrafts-in-satellite-imagery/Mon, 02 Jan 2023 15:11:48 +0000https://deeplearning.earth/posts/2023-01-02_how-to-choose-a-deep-learning-architecture-to-detect-aircrafts-in-satellite-imagery/Context Link to heading In recent years, artificial intelligence has made great strides in the field of computer vision. One area that has seen particularly impressive progress is object detection, with a variety of deep learning models achieving high levels of accuracy. However, this abundance of choice can be overwhelming for practitioners who are looking to implement an object detection system. On top of this, most public models and academic research are benchmarked on COCO which are dataset made of photographs.https://deeplearning.earth/posts/2021-09-16_detecting-aircraft-on-airbus-pleiades-imagery-with-yolov5/Thu, 16 Sep 2021 15:11:48 +0000https://deeplearning.earth/posts/2021-09-16_detecting-aircraft-on-airbus-pleiades-imagery-with-yolov5/Introduction Link to heading Recently Airbus Intelligence has published a few Machine Learning Datasets on the Kaggle platform. These datasets are samples from much larger and more comprehensive datasets provided by Airbus. Nevertheless, they are good datasets to start with and build upon if you wish to learn more about Earth Observation imagery and Deep Learning. In this article, we will analyse the Airbus aircraft dataset. It contains one hundred civilian airports and a little over 3,000 annotated commercial aircrafts.