Supported Models

All models you can deploy with Roboflow.

With Roboflow, you can deploy object detection, segmentation, classification, keypoint, and multimodal models.

These models can be deployed with Workflows using:

The table below shows common models and their support for training, model weights upload and model weights export/download.

The table describes models that can be deployed with the Serverless Hosted API (including V1 and V2).

If a model is not supported on a Serverless Hosted API, it must be deployed either with a Dedicated Deployment with a GPU or on your own hardware with Roboflow Inference.

All models can be used with Batch Processing.

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

Model
Task Type(s)
Training Supported on Roboflow?
Model Weights Upload Supported?
Model Weights Export Supported?
Supported on Serverless Hosted API V1 and V2

Roboflow 3.0

Object Detection, Classification, Keypoint Detection, Instance Segmentation, Semantic Segmentation

RF-DETR

Object Detection

YOLOv12

Object Detection

YOLO11

Object Detection, Instance Segmentation, Keypoint Detection

YOLOv9

Object Detection

YOLOv8

Object Detection, Instance Segmentation, Keypoint Detection

YOLOv8

Classification

YOLOv7

Instance Segmentation

YOLOv5

Object Detection, Instance Segmentation

Roboflow Instant

Object Detection

ViT

Classification

ResNet

Classification

Florence 2

Multimodal

PaliGemma 2

Multimodal, Object Detection

Qwen2.5-VL

Multimodal

SmolVLM2

Multimodal

SmolVLM 256M

Multimodal

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.

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