Comments (2)
coco官方给的介绍:"80 object categories, 91 stuff categories", "Whereas the detection task addresses thing classes (person, car, elephant), the stuff task focuses on stuff classes (grass, wall, sky) and the newly introduced panoptic task addresses both simultaneously." 我个人的理解是可根据不同的任务选择不同的检测类别数,我看过一些目标检测项目确实有使用80类的也有使用90类的。
coco类别的json文件你可以自己写个python脚本生成一个,网上都能搜到具体哪些类别的。
from deep-learning-for-image-processing.
coco官方给的介绍:"80 object categories, 91 stuff categories", "Whereas the detection task addresses thing classes (person, car, elephant), the stuff task focuses on stuff classes (grass, wall, sky) and the newly introduced panoptic task addresses both simultaneously." 我个人的理解是可根据不同的任务选择不同的检测类别数,我看过一些目标检测项目确实有使用80类的也有使用90类的。
coco类别的json文件你可以自己写个python脚本生成一个,网上都能搜到具体哪些类别的。
thank you!
from deep-learning-for-image-processing.
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