Models
OneFormer vs. MobileNet V2 Classification

OneFormer vs. MobileNet V2 Classification

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

Models

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OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.
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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
Instance Segmentation
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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Frameworks
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
1.3k+
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License
MIT
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Training Notebook

Compare OneFormer and MobileNet V2 Classification with Autodistill

Compare OneFormer 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.