Models
MobileNet V2 Classification vs. Detectron2

MobileNet V2 Classification vs. Detectron2

Both MobileNet V2 Classification and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and Detectron2.

Models

icon-model

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
icon-model

Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.
Model Type
Classification
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
28.4k+
--
License
--
Apache-2.0
--
Training Notebook

Compare MobileNet V2 Classification and Detectron2 with Autodistill

Compare MobileNet V2 Classification vs. Detectron2

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.