ultralytics/yolov3

Accuracy column add at training and testing time

azeemashraf348 opened this issue ยท 4 comments

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Description

Can we add an accuracy column at training time with precision-recall? If yes, please guide me.

Use case

We will also measure model accuracy.

Additional

No response

Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!

๐Ÿ‘‹ Hello @azeemashraf348, thank you for your interest in YOLOv3 ๐Ÿš€! Please visit our โญ๏ธ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv3 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

YOLOv3 CI

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Introducing YOLOv8 ๐Ÿš€

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 ๐Ÿš€!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

Hi @azeemashraf348
Is there any update on having the accuracy and chart for it?

@azeemashraf348 no. Accuracy is a classification metric. mAP, P and R are detection and segmentation metrics. The two tasks are mutually exclusive.

๐Ÿ‘‹ Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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