Florence 2 Object Detection vs. YOLOv4 Tiny

Both Florence 2 Object Detection and YOLOv4 Tiny are commonly used in computer vision projects. Below, we compare and contrast Florence 2 Object Detection and YOLOv4 Tiny.

Models

Florence 2 Object Detection

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.

Learn more about Florence 2 Object Detection

YOLOv4 Tiny

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

Learn more about YOLOv4 Tiny

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

ResNet-D, YOLO

Annotation Format

Instance Segmentation

Framework

Darknet

GitHub

View Repo

GitHub Stars

License

MIT

YOLO

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare Florence 2 Object Detection vs. YOLOv4 Tiny

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.

Florence 2 Object Detection vs. YOLOv4 Tiny

Models