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.
Learn more about OneFormer
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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.
Learn more about MobileNet V2 Classification
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

Models

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
  OneFormer MobileNet V2 Classification
Date of Release Nov 10, 2022
Model Type Instance Segmentation Classification
Architecture Transformers
GitHub Stars 1300

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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