Tools for object detection on satellite images

This page summarizes the projects mentioned and recommended in the original post on /r/computervision
Deep Learning deep-neural-networks image-classification Pytorch object-detection

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  • notebooks

    Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

    • You’ll just need to have labeled solar panel images, and pick a model architecture and tutorial to train with: https://github.com/roboflow/notebooks

  • techniques

    Techniques for deep learning with satellite & aerial imagery

    • This repo has been useful to me: https://github.com/satellite-image-deep-learning/techniques

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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