Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]
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一个名为“Starfield Fauna”的新数据集已经发布，其中包含来自视频游戏《星空》的20,000张图像，涵盖50个物种类别。这些图像是从每个物种生物群落大约两分钟的视频捕获中提取的，包括白天和夜间镜头。一个PowerShell脚本被用于提取每个物种的400帧，主要关注特写和居中镜头，以帮助区分物种。…
Image classification dataset: 20,000 images from 50 fauna species in the video game Starfield. Images were extracted from video capture. About 2 minutes of footage was shot in all or most of the species biomes. One minute of daytime and nighttime footage respectively, usually in two 30-second takes to vary the background. A PowerShell script is used to establish a frame extract rate and extract the 400 frames plus some extra to replace images that were obstructed/blurry or contained other fauna species ignoring birds/critters. The shots are for the most part close-up and centered to keep the task focused on discerning between 50 species rather than finding the creature in the image. The images are initially randomized however some normalization was done if the ratio of images from some biomes was heavily skewed between the training, validation, and test sets.