ODinW

ODinW (Object Detection in the Wild) is a comprehensive object detection benchmark that evaluates pre-trained vision models' task-level transfer ability across 35 diverse object detection tasks. It tests models' generalization capabilities in real-world scenarios, covering various domains, object categories, and challenging visual conditions to assess robust object detection performance.