> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/models/supported-models.md).

# Supported Models

All models you can deploy with Roboflow.

With Roboflow, you can deploy object detection, segmentation, classification, keypoint, Action Recognition, and multimodal models. Models you have trained are referenced by a [model ID](/models/model-ids.md).

These models can be deployed with [Workflows](https://docs.roboflow.com/workflows) using:

* [Serverless Cloud API](https://docs.roboflow.com/deployment/roboflow-cloud/serverless-api)
* [Dedicated Deployment (CPU or GPU)](https://docs.roboflow.com/deployment/roboflow-cloud/dedicated-deployments)
* Self-hosted ([Roboflow Inference](https://docs.roboflow.com/deployment/self-hosted/self-hosted))

The table below shows common models and their support for training, [model weights upload](/models/model-weights/upload-custom-weights.md) and [model weights export/download](/models/model-weights/download-roboflow-model-weights.md), and Serverless Cloud API deployment. For models that support weights export, the file formats available (ex: ONNX, PyTorch, CoreML) vary by architecture: see the [export format table](/models/model-weights/download-roboflow-model-weights.md#export-formats).

The table describes models that can be deployed with the Serverless Cloud API.

{% hint style="info" %}
If a model is not supported on a Serverless Cloud API, it must be deployed either with a [Dedicated Deployment](https://docs.roboflow.com/deployment/roboflow-cloud/dedicated-deployments) with a GPU or on your own hardware with Roboflow Inference.
{% endhint %}

All models can be used with [Batch Processing](https://docs.roboflow.com/deployment/roboflow-cloud/batch-processing).

We recommend using Dedicated Deployments or Batch Processing with a GPU configured for optimal performance when using multimodal models.

### Object Detection

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/rf-detr.md">RF-DETR</a></td><td><a href="/models/model-licenses.md">Apache 2.0</a> (free for commercial use); XL and 2XL: PML 1.0</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/roboflow-3.md">Roboflow 3.0</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yololite.md">YOLOlite</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>false</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolo26.md">YOLO26</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/train/roboflow-instant.md">Roboflow Instant</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>false</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolov12.md">YOLOv12</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/paligemma2.md">PaliGemma 2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolo11.md">YOLO11</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolov9.md">YOLOv9</a></td><td><a href="/models/model-licenses.md">GPL-3.0</a></td><td>false</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolov5.md">YOLOv5</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>false</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/owlv2.md">OWLv2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/grounding-dino.md">Grounding DINO</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>false</td></tr></tbody></table>

### Instance Segmentation

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/rf-detr.md">RF-DETR</a></td><td><a href="/models/model-licenses.md">Apache 2.0</a> (free for commercial use)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/roboflow-3.md">Roboflow 3.0</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/sam3.md">SAM3</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolo26.md">YOLO26</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolo11.md">YOLO11</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/sam2.md">SAM2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolov7.md">YOLOv7</a></td><td><a href="/models/model-licenses.md">GPL-3.0</a></td><td>false</td><td>true</td><td>true</td><td>true</td></tr></tbody></table>

### Action Recognition

Train [Cosmos 3 Edge](/models/supported-models/cosmos-3-edge.md#run-a-fine-tuned-action-recognition-model) on labeled video segments and run the trained model through the Serverless Cloud API to get a timeline of actions.

You can also train V-JEPA 2.1 (Beta) on a paid plan. Pick it in the training picker. It supports Workflows, model evaluation, and weight download, but not auto-labeling. You can stop a V-JEPA 2.1 training early and continue it later from its last checkpoint.

### Classification

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th width="165.47265625" data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/roboflow-3.md">Roboflow 3.0</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/dino-v3.md">DINOv3</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/vit.md">ViT</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/resnet.md">ResNet</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>false</td><td>true</td></tr></tbody></table>

### Keypoint Detection

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/rf-detr.md">RF-DETR (Preview)</a></td><td><a href="/models/model-licenses.md">Apache 2.0</a> (free for commercial use)</td><td>true</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/roboflow-3.md">Roboflow 3.0</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolo26.md">YOLO26</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/yolo11.md">YOLO11</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr></tbody></table>

### Semantic Segmentation

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/yolo26.md">YOLO26</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/roboflow-2.md">Roboflow 2.0</a></td><td><a href="https://roboflow.com/licensing">Roboflow Licensing</a></td><td>true</td><td>false</td><td>false</td><td>true</td></tr></tbody></table>

### Multimodal

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/cosmos-3-edge.md">Cosmos 3 Edge</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/qwen3-5.md">Qwen3.5</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/qwen3-vl.md">Qwen3-VL</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/perception-encoder.md">Perception Encoder</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/smolvlm2.md">SmolVLM2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>false</td><td>false</td><td>false</td></tr><tr><td>Qwen2.5-VL</td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>false</td><td>false</td></tr><tr><td>SmolVLM 256M</td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/paligemma2.md">PaliGemma 2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>true</td><td>true</td></tr><tr><td><a href="/models/supported-models/florence-2.md">Florence 2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>true</td><td>true</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/moondream2.md">Moondream2</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/yolo-world.md">YOLO-World</a></td><td><a href="/models/model-licenses.md">AGPL-3.0</a> (commercial use needs a license, included on Roboflow cloud)</td><td>false</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/clip.md">CLIP</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr></tbody></table>

### OCR

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/glm-ocr.md">GLM-OCR</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/trocr.md">TrOCR</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/doctr.md">DocTR</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr><tr><td><a href="/models/supported-models/easyocr.md">EasyOCR</a></td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr></tbody></table>

### Other

<table data-full-width="true" data-search="false"><thead><tr><th>Model</th><th width="133.90625">Task Type(s)</th><th>License</th><th data-type="checkbox">Training Supported on Roboflow?</th><th data-type="checkbox">Model Weights Upload Supported?</th><th data-type="checkbox">Model Weights Export Supported?</th><th data-type="checkbox">Supported on Serverless Cloud API</th></tr></thead><tbody><tr><td><a href="/models/supported-models/depth-anything-v2.md">Depth Anything V2 Small</a></td><td>Depth Estimation</td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>false</td></tr><tr><td><a href="/models/supported-models/l2cs-net.md">L2CS-Net</a></td><td>Gaze Detection</td><td><a href="/models/model-licenses.md#other-models">Upstream license</a></td><td>false</td><td>false</td><td>false</td><td>true</td></tr></tbody></table>

### Models Supported in Workflows

You can run all of the above models in Workflows, as well as other models like Segment Anything 2, CLIP, OpenAI's GPT models, and more. [See a full list of models you can run in a Workflow.](https://docs.roboflow.com/workflows/blocks/blocks#Models)

## Foundation Models

Foundation models are trained on very large, general datasets, so they work out of the box without you training anything. OpenAI's CLIP, for example, was trained on over 400 million image-text pairs, which lets it classify and compare images across a wide range of domains.

Roboflow supports foundation models for segmentation, zero-shot detection, embeddings, OCR, depth estimation, and visual question answering. Every model listed on this page is callable over HTTP, so you do not have to set up or configure each one yourself.

Common uses:

* **Zero-shot detection and segmentation.** [SAM3](/models/supported-models/sam3.md), [Grounding DINO](/models/supported-models/grounding-dino.md), [YOLO-World](/models/supported-models/yolo-world.md), and [OWLv2](/models/supported-models/owlv2.md) find objects from a text prompt or a single example, with no training data.
* **Automated labeling.** Use a zero-shot model to label a dataset, then train a smaller, faster model that is fine-tuned to your use case.
* **Embeddings.** [CLIP](/models/supported-models/clip.md) and [Perception Encoder](/models/supported-models/perception-encoder.md) turn images and text into vectors for clustering, deduplication, content moderation, and dataset search.
* **Reading and describing images.** [Florence 2](/models/supported-models/florence-2.md), [Qwen3-VL](/models/supported-models/qwen3-vl.md), [Moondream2](/models/supported-models/moondream2.md), and the [OCR models](/models/supported-models/doctr.md) answer questions about images and extract text.

## Pretrained Models

Roboflow ships COCO-pretrained checkpoints under short aliases such as `rfdetr-small` and `yolov8n-640`. You can pass an alias anywhere a model ID is accepted, with no training and no project setup. See [Pretrained Model Aliases](/models/pretrained-aliases.md) for the full list.

## Running Your Own Models

To run a model you trained (or [uploaded weights](/models/model-weights/upload-custom-weights.md) for), you need its [model ID](/models/model-ids.md). Open your [Roboflow dashboard](https://app.roboflow.com), select the model, and click "Deploy" in the sidebar to find the ID, which has the form `{workspace}/{project}/{version}`.

Then pass it as `model_id`:

{% tabs %}
{% tab title="SDK (Python)" icon="python" %}

```python
import os
from inference_sdk import InferenceHTTPClient, InferenceConfiguration

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.environ["ROBOFLOW_API_KEY"],
).configure(InferenceConfiguration(api_key_transport="header"))

results = client.infer("image.jpeg", model_id="taylor-swift-records/3")
print(results["predictions"])
```

{% endtab %}

{% tab title="Inference (native)" icon="server" %}

```python
from inference import get_model

model = get_model(model_id="taylor-swift-records/3")

results = model.infer("image.jpeg")[0]
print(results.predictions)
```

{% endtab %}
{% endtabs %}

Load the results into [supervision](https://supervision.roboflow.com/) with `sv.Detections.from_inference(results)` to visualize them.

## Community Models

[Roboflow Universe](https://universe.roboflow.com) hosts more than 50,000 models published by other Roboflow users, covering everything from defect detection to sports analytics and wildlife identification. Universe model IDs work exactly like your own: see [Find a Model on Universe](https://docs.roboflow.com/datasets/universe/universe/find-a-model-on-universe).

## Licensing

Models carry the licenses of their upstream projects, shown in the License column. RF-DETR is Apache 2.0, so you can use it commercially, including self-hosted, with no license fee (RF-DETR XL and 2XL detection use PML 1.0). YOLOv5, YOLOv8, YOLOv10, YOLO11, YOLOv12, YOLO26, and YOLO-World are AGPL-3.0: deploying them on Roboflow cloud includes a commercial license for every user, and commercial self-hosting is an Enterprise add-on. See [Model Licenses](/models/model-licenses.md).