TUD-L

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The TUD-L (TUD Light) dataset is part of the Benchmark for 6D Object Pose Estimation (BOP). Let me provide you with some details about this dataset: 1. Description: - The TUD-L dataset focuses on lighting conditions and includes three moving objects observed under eight different illumination scenarios. - It was specifically created as part of the BOP benchmark to evaluate 6D object pose estimation methods. 2. Object Instances: - The dataset contains three objects: - Dragon - Frog - Watering pot 3. Challenges: - TUD-L introduces challenging illumination variations to test the robustness of pose estimation algorithms. - Unlike other datasets, TUD-L has limited clutter and occlusion, making it suitable for evaluating lighting-specific performance. 4. Ground-Truth Annotations: - The dataset provides ground-truth 6D object poses, 2D bounding boxes, and 2D binary masks for the training and test RGB-D images. - These annotations enable researchers to evaluate their algorithms accurately. 5. Usage: - Researchers can use the TUD-L dataset to develop and evaluate 6D object pose estimation methods under varying lighting conditions.