# SEW Multimodal AMR The labeled test set of the SEW-EURODRIVE Multimodal AMR dataset, as native `.mcap` episodes. Six sensing modalities ride one autonomous mobile robot: RGB, thermal, time-of-flight, 4D radar, two 2D laser scanners, and an ultrasonic array. The 3,151 labeled frames are split into 55 episodes, one per source recording session, spanning three seasons, six weather conditions, and day, dawn, and night. KITTI cuboids and YOLO boxes ride the timeline as scene and image annotations. **Details** - Dataset name: `sew-multimodal-amr` - Dataset source: [https://huggingface.co/datasets/Voxel51/SEW-Multimodal-AMR](https://huggingface.co/datasets/Voxel51/SEW-Multimodal-AMR) - Dataset size: 3.97 GB - Dataset license: CC-BY-SA-4.0 - Tags: `multimodal, mcap, robotics, thermal, radar` - Supported splits: `N/A` - ZooDataset class: [`SEWMultimodalAMRDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.SEWMultimodalAMRDataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("sew-multimodal-amr") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load sew-multimodal-amr fiftyone app launch sew-multimodal-amr ```