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# nvidia/LocateAnything-3B

<a href="../../plugins/plugins_ecosystem/fiftyone_locate_anything.html" target="_blank">
    <img src="https://img.shields.io/badge/Plugin-fiftyone--locate--anything-orange" alt="From Plugin">
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#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[fiftyone-locate-anything](../../plugins/plugins_ecosystem/fiftyone_locate_anything.html) plugin, maintained by the community.
It is not part of FiftyOne core and may have special installation requirements.
Please review the plugin documentation and license before use.

NVIDIA LocateAnything-3B: open-vocabulary grounding VLM (3B params, Qwen2.5-3B + MoonViT + Parallel Box Decoder). Image and (frame-sampled) video. 7 operations: detect, grounding, point, scene_text, layout, text_grounding, gui_box. Returns fo.Detections or fo.Keypoints (image), {frame: label} (video)..

**Details**

- Model name: `nvidia/LocateAnything-3B`
- Model source: [https://huggingface.co/nvidia/LocateAnything-3B](https://huggingface.co/nvidia/LocateAnything-3B)
- Model author: NVIDIA
- Model license: NVIDIA License (non-commercial research only). See [https://huggingface.co/nvidia/LocateAnything-3B](https://huggingface.co/nvidia/LocateAnything-3B)
- Exposes embeddings? no
- Tags: `detection, keypoints, grounding, ocr, layout, gui, torch, zero-shot, image, video, VLM, open-vocabulary`

**Requirements**

- Packages: `huggingface-hub, torch, torchvision, transformers>=4.57.1,<4.58, tokenizers>=0.22.0, Pillow, timm, lmdb, peft, opencv-python-headless>=4.10`
- CPU support
  - yes
- GPU support
  - yes

**Example usage**

```python
import fiftyone as fo
import fiftyone.zoo as foz

foz.register_zoo_model_source("https://github.com/Burhan-Q/fiftyone-locate-anything")

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("nvidia/LocateAnything-3B")

dataset.apply_model(model, label_field="predictions")

session = fo.launch_app(dataset)
```
