Models
YOLOv10 vs. YOLOv4 PyTorch

YOLOv10 vs. YOLOv4 PyTorch

Both YOLOv10 and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and YOLOv4 PyTorch.

Models

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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.
Learn more about YOLOv4 PyTorch
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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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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4.4k+
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License
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Apache-2.0
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Training Notebook

Compare YOLOv10 and YOLOv4 PyTorch with Autodistill

Models

YOLOv10 vs. YOLOv4 PyTorch

.

Both

YOLOv10

and

YOLOv4 PyTorch

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv10

and

YOLOv4 PyTorch
  YOLOv10 YOLOv4 PyTorch
Date of Release May 23, 2024
Model Type Object Detection Object Detection
Architecture YOLO YOLO
GitHub Stars 4400

YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".

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

YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.

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

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