Models
YOLOS vs. YOLOv4 Tiny

YOLOS vs. YOLOv4 Tiny

Both YOLOS and YOLOv4 Tiny are commonly used in computer vision projects. Below, we compare and contrast YOLOS and YOLOv4 Tiny.

Models

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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.
Learn more about YOLOS
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YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset
Learn more about YOLOv4 Tiny
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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ResNet-D, YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
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Darknet
GitHub
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View Repo
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View Repo
GitHub Stars
812+
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License
MIT
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YOLO
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare YOLOS and YOLOv4 Tiny with Autodistill

Compare YOLOS vs. YOLOv4 Tiny

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.