MOTFront
Introduced by Schmauser et al. in 3D Multi-Object Tracking with Differentiable Pose Estimation
MOTFront provides photo-realistic RGB-D images with their corresponding instance segmentation masks, class labels, 2D & 3D bounding boxes, 3D geometry, 3D poses and camera parameters. The MOTFront dataset comprises 2,381 unique indoor sequences with a total of 60,000 images and is based on the 3D-FRONT dataset.
Papers
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