# rtdetr-v2-l-coco-torch High-accuracy real-time object detector with ResNet-101 backbone, offering the best accuracy in the RT-DETRv2 family. **Details** - Model name: `rtdetr-v2-l-coco-torch` - Model source: [https://huggingface.co/PekingU/rtdetr_v2_r101vd](https://huggingface.co/PekingU/rtdetr_v2_r101vd) - Model author: Wenyu Lv, et al. - Model license: Apache 2.0 - Model size: 293.09 MB - Exposes embeddings? yes - Tags: `detection, coco, embeddings, torch, transformers, rtdetr, official` **Requirements** - Packages: `torch, torchvision, transformers` - CPU support - yes - GPU support - yes **Example usage** ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset( "coco-2017", split="validation", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) model = foz.load_zoo_model("rtdetr-v2-l-coco-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```