Models
Phi-3.5 vs. YOLOS

Phi-3.5 vs. YOLOS

Both Phi-3.5 and YOLOS are commonly used in computer vision projects. Below, we compare and contrast Phi-3.5 and YOLOS.

Models

icon-model

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Model Type
Multimodal Model
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Transformer, YOLO
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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812+
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License
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MIT
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Training Notebook

Compare Phi-3.5 and YOLOS with Autodistill

Compare Phi-3.5 vs. YOLOS

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.