Claim · model-written summary
YOLOV8s reached 121.5 FPS, faster than YOLOV5 at 102.7 FPS and Faster R-CNN at 11 FPS.
- Taxon
- Tomato
Solanum lycopersicumt0 - Outcome
- frame ratee0
- Direction
- superiore0
- Value
- 121.5 FPSe0
- Qualifier
- Faster R-CNN’s 11 FPSe0
- Comparator
- YOLOV5e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSetting
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The YOLOV8s model has a significantly superior frame rate, reaching 121.5 FPS, in contrast to YOLOV5’s 102.7 FPS and Faster R-CNN’s 11 FPS”
t0“Tomato Leaves”
Title
A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves
Akram Abdullah; Gehad Abdullah Amran; S. M. Ahanaf Tahmid; et al. Agronomy 2024. doi:10.3390/agronomy14071593