YOLOv4 Tiny vs. Detectron2

Both YOLOv4 Tiny and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv4 Tiny and Detectron2.

Models

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

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

ResNet-D, YOLO

Frameworks

Darknet

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

28.4k+

License

YOLO

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.