Class confusion evaluation for the trained YOLOv7-tiny model.

<p>(a), (b) Crop of an image as taken with our system before and after object detection by YOLOv7. The detected objects are third instar larvae (cyan), adult flies (blue), empty pupae (red), full pupae (green) and out-of-focus (yellow). (c) Class confusion matrix of the used YOLOv7-tiny model....

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Julian Bigge (22331861) (author)
مؤلفون آخرون:	Maite Ogueta (110427) (author), Luis Garcia (3284514) (author), Benjamin Risse (275593) (author)
منشور في:	2025
الموضوعات:	Ecology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified standard rearing vials regular rearing routines rearing vials simultaneously performed several studies extract additional information div >< p 000 annotated objects real world experiments established circadian experiments drosophila melanogaster </ >< sup >< wild type flies successfully reproduced results ></ sup >, ></ sup term experiments explicit experiments short </ without involvement tracking algorithms situ monitoring situ imaging reproducible design multiple days manual labor group behavior generic client empty pupae eclosion periods developmental behavior dedicated detection clock mutants based software arbitrary amount also indicate
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Class confusion evaluation for the trained YOLOv7-tiny model.

مواد مشابهة