# deeplabv3-resnet101-coco-torch Labels everyday objects in images pixel by pixel for general scene understanding and analysis. **Details** - Model name: `deeplabv3-resnet101-coco-torch` - Model source: [https://pytorch.org/vision/main/models.html](https://pytorch.org/vision/main/models.html) - Model author: Liang-Chieh Chen, et al. - Model license: BSD 3-Clause - Model size: 233.22 MB - Exposes embeddings? no - Tags: `segmentation, coco, torch, resnet, deeplabv3, official` **Requirements** - Packages: `torch, torchvision` - 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("deeplabv3-resnet101-coco-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```