MobileNet SSD v2 vs. Detectron2

Both MobileNet SSD v2 and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and Detectron2.

Models

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

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

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Annotation Format

Instance Segmentation

Framework

TensorFlow 1.5

PyTorch

GitHub

GitHub Stars

81+

28.4k+

License

MIT

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.