Image Classification Models for Raspberry Pis

Explore our list of recommended classification model architectures for use on Raspberry Pi devices.

Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using Roboflow Inference.

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.

Object Detection

Deploy with Roboflow

Vision Transformer

The Vision Transformer leverages powerful natural language processing embeddings (BERT) and applies them to images.

Deploy with Roboflow

ResNet-50

ResNet-50 is a popular image classification model architecture.

Deploy with Roboflow

FastViT

FastViT is a fast image classification model developed by Apple.

Deploy with Roboflow

Visual Question Answering

Image Similarity

Image Captioning

Zero-shot Detection

Real-Time Vision

Image Embedding

LLMS with Vision Capabilities

Multimodal Vision

Foundation Vision