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).
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.
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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