Models
Detectron2 vs. MobileNet V2 Classification

Detectron2 vs. MobileNet V2 Classification

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

Models

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Detectron2

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

Compare Detectron2 and MobileNet V2 Classification with Autodistill

Compare Detectron2 vs. MobileNet V2 Classification

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.