Video frame feeding approach for validating the performance of an object detection model in real-world conditions
The challenge of evaluating deep learning-based object detection models in complex traffic scenarios, characterized by changing weather and lighting conditions, is addressed in this study. Real-world testing proves time and cost-intensive, leading to the proposal of a Video Frame Feeding (VFF) appro...
| Published in: | Automatika |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-04-01
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| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2024.2314928 |