High Speed Real-Time Object Detection Using YOLO-Based Deep Learning Models

Umamaheswararao Mogili

doi:10.64643/ijirtv12i10-194746-459

March 24, 2026International Journal of Innovative Research in TechnologyOpen Access

High Speed Real-Time Object Detection Using YOLO-Based Deep Learning Models

View Full Paper

Ask AI

Bookmark

Share

Key Points

Evaluate the effectiveness of YOLO-based deep learning models for real-time object detection in waste management knowledge dissemination.
Analyzed YOLO-based deep learning models for speed and accuracy in object detection.
Implemented teaching programs focusing on waste management for women.
Conducted evaluations pre- and post-intervention to measure knowledge gains.
Demonstrated improved object detection speeds using YOLO models.
Increased waste management knowledge among participants after training programs.
Highlighted effectiveness of deep learning in education and training contexts.

Implication

Evaluation of YOLO-based object detection for effective waste management knowledge among women, suggesting improvements in training programs.

Abstract

Explore the article titled High Speed Real-Time Object Detection Using YOLO-Based Deep Learning Models from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Umamaheswararao Mogili (2026) studied this question.

synapsesocial.com/papers/69ccb76c16edfba7beb89587 https://doi.org/10.64643/ijirtv12i10-194746-459

View Full Paper

Ask AI

Bookmark

Share

High Speed Real-Time Object Detection Using YOLO-Based Deep Learning Models

Key Points

Implication

Abstract

Discussion

Cite This Study

High Speed Real-Time Object Detection Using YOLO-Based Deep Learning Models

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

More related papers

Keep reading

More related papers