PaliGemma-2 vs. Resnet-32

Both PaliGemma-2 and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast PaliGemma-2 and ResNet 32.

Models

PaliGemma-2 is a multimodal model developed by Google.

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

Model Type

Multimodal Model

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Frameworks

Fast.ai v2

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

32+

License

Gemma License

Paper

Training Notebook

Deploy Model

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.