Computer vision can accelerate ecology research by automating the analysis of raw imagery from sensors like camera traps, drones, and satellites. However, computer vision is an emerging discipline that is rarely taught to ecologists. This work discusses our experience teaching a diverse group of ecologists to prototype and evaluate computer vision systems in the context of an intensive hands-on summer workshop. We explain the workshop structure, discuss common challenges, and propose best practices. This document is intended for computer scientists who teach computer vision across disciplines, but it may also be useful to ecologists or other domain experts who are learning to use computer vision themselves.

翻译：计算机愿景可以通过将相机陷阱、无人驾驶飞机和卫星等传感器的原始图像分析自动化来加速生态研究。然而,计算机愿景是一个新兴学科,很少教给生态学家。本工作讨论了我们的经验,教一组不同的生态学家在一次密集的夏季亲手操作讲习班中对计算机愿景系统进行原型和评估。我们解释了讲习班的结构,讨论了共同的挑战,并提出了最佳做法。这份文件是针对那些教授跨学科计算机愿景的计算机科学家编写的,但也可能有益于那些正在学习使用计算机愿景的生态学家或其他领域专家。