Detectron2 vs. Resnet-32

Both Detectron2 and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast Detectron2 and ResNet 32.

Models

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.

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

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Annotation Format

Instance Segmentation

Framework

PyTorch

Fast.ai v2

GitHub

GitHub Stars

28.4k+

32+

License

Apache-2.0

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.