์ฝ˜ํ…์ธ ๋กœ ๊ฑด๋„ˆ๋›ฐ๊ธฐ

YOLO11 ๐Ÿš€ on AzureML

Azure๋ž€ ๋ฌด์—‡์ธ๊ฐ€์š”?

Azure is Microsoft's cloud computing platform, designed to help organizations move their workloads to the cloud from on-premises data centers. With the full spectrum of cloud services including those for computing, databases, analytics, machine learning, and networking, users can pick and choose from these services to develop and scale new applications, or run existing applications, in the public cloud.

AzureML(Azure ๋จธ์‹  ๋Ÿฌ๋‹)์ด๋ž€?

์ผ๋ฐ˜์ ์œผ๋กœ AzureML์ด๋ผ๊ณ  ํ•˜๋Š” Azure ๊ธฐ๊ณ„ ํ•™์Šต์€ ๋ฐ์ดํ„ฐ ๊ณผํ•™์ž์™€ ๊ฐœ๋ฐœ์ž๊ฐ€ ์˜ˆ์ธก ๋ถ„์„์„ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์— ํšจ์œจ์ ์œผ๋กœ ํฌํ•จํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•˜๋Š” ์™„์ „ ๊ด€๋ฆฌํ˜• ํด๋ผ์šฐ๋“œ ์„œ๋น„์Šค๋กœ, ์กฐ์ง์ด ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ ์ง‘ํ•ฉ์„ ์‚ฌ์šฉํ•˜๊ณ  ํด๋ผ์šฐ๋“œ์˜ ๋ชจ๋“  ์ด์ ์„ ๊ธฐ๊ณ„ ํ•™์Šต์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. AzureML์€ ๋จธ์‹  ๋Ÿฌ๋‹์— ๋Œ€ํ•œ ์ ‘๊ทผ์„ฑ, ์‚ฌ์šฉ ํŽธ์˜์„ฑ, ํ™•์žฅ์„ฑ์„ ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ๋‹ค์–‘ํ•œ ์„œ๋น„์Šค์™€ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ฐœ๋ฐœ์ž๊ฐ€ ๋จธ์‹  ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ์ž๋™ํ™”๋œ ๋จธ์‹  ๋Ÿฌ๋‹, ๋“œ๋ž˜๊ทธ ์•ค ๋“œ๋กญ ๋ชจ๋ธ ํ•™์Šต๊ณผ ๊ฐ™์€ ๊ธฐ๋Šฅ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ฐ•๋ ฅํ•œ Python SDK๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

AzureML์€ YOLO ์‚ฌ์šฉ์ž์—๊ฒŒ ์–ด๋–ค ์ด์ ์ด ์žˆ๋‚˜์š”?

YOLO (You Only Look Once) ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•ด AzureML์€ ๋จธ์‹  ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ํ•™์Šตํ•˜๊ณ  ๋ฐฐํฌํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ•๋ ฅํ•˜๊ณ  ํ™•์žฅ ๊ฐ€๋Šฅํ•˜๋ฉฐ ํšจ์œจ์ ์ธ ํ”Œ๋žซํผ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋น ๋ฅธ ํ”„๋กœํ† ํƒ€์ž…์„ ์‹คํ–‰ํ•˜๊ฑฐ๋‚˜ ๋” ๊ด‘๋ฒ”์œ„ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•˜๊ธฐ ์œ„ํ•ด ํ™•์žฅํ•˜๋ ค๋Š” ๊ฒฝ์šฐ, AzureML์˜ ์œ ์—ฐํ•˜๊ณ  ์‚ฌ์šฉ์ž ์นœํ™”์ ์ธ ํ™˜๊ฒฝ์€ ์‚ฌ์šฉ์ž์˜ ํ•„์š”์— ๋งž๋Š” ๋‹ค์–‘ํ•œ ๋„๊ตฌ์™€ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. AzureML์„ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์Œ์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

  • ๊ต์œก์„ ์œ„ํ•œ ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ ์„ธํŠธ์™€ ์ปดํ“จํŒ… ๋ฆฌ์†Œ์Šค๋ฅผ ์‰ฝ๊ฒŒ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ, ๊ธฐ๋Šฅ ์„ ํƒ, ๋ชจ๋ธ ํ•™์Šต์„ ์œ„ํ•œ ๊ธฐ๋ณธ ์ œ๊ณต ๋„๊ตฌ๋ฅผ ํ™œ์šฉํ•˜์„ธ์š”.
  • ๋ชจ๋ธ ๋ฐ ๋ฐ์ดํ„ฐ์˜ ๋ชจ๋‹ˆํ„ฐ๋ง, ๊ฐ์‚ฌ, ๋ฒ„์ „ ๊ด€๋ฆฌ๋ฅผ ํฌํ•จํ•˜๋˜ ์ด์— ๊ตญํ•œ๋˜์ง€ ์•Š๋Š” MLOps(๋จธ์‹  ๋Ÿฌ๋‹ ์šด์˜) ๊ธฐ๋Šฅ์œผ๋กœ ๋”์šฑ ํšจ์œจ์ ์œผ๋กœ ํ˜‘์—…ํ•˜์„ธ์š”.

In the subsequent sections, you will find a quickstart guide detailing how to run YOLO11 object detection models using AzureML, either from a compute terminal or a notebook.

์ „์ œ ์กฐ๊ฑด

์‹œ์ž‘ํ•˜๊ธฐ ์ „์— AzureML ์ž‘์—… ์˜์—ญ์— ์•ก์„ธ์Šคํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ํ™•์ธํ•˜์„ธ์š”. ์—†๋Š” ๊ฒฝ์šฐ Azure์˜ ๊ณต์‹ ์„ค๋ช…์„œ์— ๋”ฐ๋ผ ์ƒˆ AzureML ์ž‘์—… ์˜์—ญ์„ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์ž‘์—… ์˜์—ญ์€ ๋ชจ๋“  AzureML ๋ฆฌ์†Œ์Šค๋ฅผ ๊ด€๋ฆฌํ•˜๋Š” ์ค‘์•™ ์ง‘์ค‘์‹ ๊ณต๊ฐ„์˜ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค.

์ปดํ“จํŒ… ์ธ์Šคํ„ด์Šค ๋งŒ๋“ค๊ธฐ

AzureML ์ž‘์—… ์˜์—ญ์—์„œ ์ปดํ“จํŒ… > ์ธ์Šคํ„ด์Šค ์ปดํ“จํŒ… > ์ƒˆ๋กœ ๋งŒ๋“ค๊ธฐ๋ฅผ ์„ ํƒํ•˜๊ณ  ํ•„์š”ํ•œ ๋ฆฌ์†Œ์Šค๊ฐ€ ์žˆ๋Š” ์ธ์Šคํ„ด์Šค๋ฅผ ์„ ํƒํ•ฉ๋‹ˆ๋‹ค.

Azure ์ปดํ“จํŒ… ์ธ์Šคํ„ด์Šค ๋งŒ๋“ค๊ธฐ

ํ„ฐ๋ฏธ๋„์—์„œ ๋น ๋ฅธ ์‹œ์ž‘

์ปดํ“จํŒ…์„ ์‹œ์ž‘ํ•˜๊ณ  ํ„ฐ๋ฏธ๋„์„ ์—ฝ๋‹ˆ๋‹ค:

ํ„ฐ๋ฏธ๋„ ์—ด๊ธฐ

๊ฐ€์ƒ ํ™˜๊ฒฝ ๋งŒ๋“ค๊ธฐ

์ฝ˜๋‹ค ๊ฐ€์ƒ ํ™˜๊ฒฝ์„ ์ƒ์„ฑํ•˜๊ณ  ๊ทธ ์•ˆ์— pip๋ฅผ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค:

conda create --name yolo11env -y
conda activate yolo11env
conda install pip -y

ํ•„์š”ํ•œ ์ข…์†์„ฑ์„ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค:

cd ultralytics
pip install -r requirements.txt
pip install ultralytics
pip install onnx>=1.12.0

Perform YOLO11 tasks

์˜ˆ์ธก:

yolo predict model=yolo11n.pt source='https://ultralytics.com/images/bus.jpg'

Train a detection model for 10 epochs with an initial learning_rate of 0.01:

yolo train data=coco8.yaml model=yolo11n.pt epochs=10 lr0=0.01

์ž์„ธํ•œ ์‚ฌ์šฉ ๋ฐฉ๋ฒ•์€ Ultralytics CLI ์—์„œ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋…ธํŠธ๋ถ์—์„œ ๋น ๋ฅธ ์‹œ์ž‘

์ƒˆ IPython ์ปค๋„ ์ƒ์„ฑ

์ปดํ“จํŒ… ํ„ฐ๋ฏธ๋„์„ ์—ฝ๋‹ˆ๋‹ค.

ํ„ฐ๋ฏธ๋„ ์—ด๊ธฐ

์ปดํ“จํŒ… ํ„ฐ๋ฏธ๋„์—์„œ ๋…ธํŠธ๋ถ์—์„œ ์ข…์†์„ฑ์„ ๊ด€๋ฆฌํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉํ•  ์ƒˆ ์•„์ดํ”ผ์ปค๋„์„ ๋งŒ๋“ค์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค:

conda create --name yolo11env -y
conda activate yolo11env
conda install pip -y
conda install ipykernel -y
python -m ipykernel install --user --name yolo11env --display-name "yolo11env"

ํ„ฐ๋ฏธ๋„์„ ๋‹ซ๊ณ  ์ƒˆ ๋…ธํŠธ๋ถ์„ ๋งŒ๋“ญ๋‹ˆ๋‹ค. ๋…ธํŠธ๋ถ์—์„œ ์ƒˆ ์ปค๋„์„ ์„ ํƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๋Ÿฐ ๋‹ค์Œ ๋…ธํŠธ๋ถ ์…€์„ ์—ด๊ณ  ํ•„์š”ํ•œ ์ข…์†์„ฑ์„ ์„ค์น˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

%%bash
source activate yolo11env
cd ultralytics
pip install -r requirements.txt
pip install ultralytics
pip install onnx>=1.12.0

์ฃผ์˜ํ•  ์ ์€ source activate yolo11env ๋ฅผ ๋ชจ๋“  %%bash ์…€์— ์ ์šฉํ•˜์—ฌ %%bash ์…€์ด ์›ํ•˜๋Š” ํ™˜๊ฒฝ์„ ์‚ฌ์šฉํ•˜๋„๋ก ํ•ฉ๋‹ˆ๋‹ค.

๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ช‡ ๊ฐ€์ง€ ์˜ˆ์ธก์„ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค. Ultralytics CLI:

%%bash
source activate yolo11env
yolo predict model=yolo11n.pt source='https://ultralytics.com/images/bus.jpg'

๋˜๋Š” Ultralytics Python ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

from ultralytics import YOLO

# Load a model
model = YOLO("yolo11n.pt")  # load an official YOLO11n model

# Use the model
model.train(data="coco8.yaml", epochs=3)  # train the model
metrics = model.val()  # evaluate model performance on the validation set
results = model("https://ultralytics.com/images/bus.jpg")  # predict on an image
path = model.export(format="onnx")  # export the model to ONNX format

You can use either the Ultralytics CLI or Python interface for running YOLO11 tasks, as described in the terminal section above.

By following these steps, you should be able to get YOLO11 running quickly on AzureML for quick trials. For more advanced uses, you may refer to the full AzureML documentation linked at the beginning of this guide.

AzureML๋กœ ์ž์„ธํžˆ ์•Œ์•„๋ณด๊ธฐ

This guide serves as an introduction to get you up and running with YOLO11 on AzureML. However, it only scratches the surface of what AzureML can offer. To delve deeper and unlock the full potential of AzureML for your machine learning projects, consider exploring the following resources:

  • ๋ฐ์ดํ„ฐ ์ž์‚ฐ ๋งŒ๋“ค๊ธฐ: AzureML ํ™˜๊ฒฝ ๋‚ด์—์„œ ๋ฐ์ดํ„ฐ ์ž์‚ฐ์„ ํšจ๊ณผ์ ์œผ๋กœ ์„ค์ •ํ•˜๊ณ  ๊ด€๋ฆฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์•Œ์•„๋ณด์„ธ์š”.
  • AzureML ์ž‘์—… ์‹œ์ž‘ํ•˜๊ธฐ: AzureML์—์„œ ๋จธ์‹  ๋Ÿฌ๋‹ ๊ต์œก ์ž‘์—…์„ ์‹œ์ž‘ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ํฌ๊ด„์ ์ธ ์ดํ•ด๋ฅผ ์–ป์œผ์„ธ์š”.
  • ๋ชจ๋ธ ๋“ฑ๋กํ•˜๊ธฐ: ๋“ฑ๋ก, ๋ฒ„์ „ ๊ด€๋ฆฌ ๋ฐ ๋ฐฐํฌ๋ฅผ ํฌํ•จํ•œ ๋ชจ๋ธ ๊ด€๋ฆฌ ๋ฐฉ๋ฒ•์„ ์ˆ™์ง€ํ•˜์„ธ์š”.
  • Train YOLO11 with AzureML Python SDK: Explore a step-by-step guide on using the AzureML Python SDK to train your YOLO11 models.
  • Train YOLO11 with AzureML CLI: Discover how to utilize the command-line interface for streamlined training and management of YOLO11 models on AzureML.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

How do I run YOLO11 on AzureML for model training?

Running YOLO11 on AzureML for model training involves several steps:

  1. ์ปดํ“จํŒ… ์ธ์Šคํ„ด์Šค๋ฅผ ๋งŒ๋“ญ๋‹ˆ๋‹ค: AzureML ์ž‘์—… ์˜์—ญ์—์„œ ์ปดํ“จํŒ… > ์ปดํ“จํŒ… ์ธ์Šคํ„ด์Šค > ์ƒˆ๋กœ ๋งŒ๋“ค๊ธฐ๋กœ ์ด๋™ํ•˜์—ฌ ํ•„์š”ํ•œ ์ธ์Šคํ„ด์Šค๋ฅผ ์„ ํƒํ•ฉ๋‹ˆ๋‹ค.

  2. ํ™˜๊ฒฝ ์„ค์ •: ์ปดํ“จํŒ… ์ธ์Šคํ„ด์Šค๋ฅผ ์‹œ์ž‘ํ•˜๊ณ  ํ„ฐ๋ฏธ๋„์„ ์—ฐ ๋‹ค์Œ ์ฝ˜๋‹ค ํ™˜๊ฒฝ์„ ๋งŒ๋“ญ๋‹ˆ๋‹ค:

    conda create --name yolo11env -y
    conda activate yolo11env
    conda install pip -y
    pip install ultralytics onnx>=1.12.0
    
  3. Run YOLO11 Tasks: Use the Ultralytics CLI to train your model:

    yolo train data=coco8.yaml model=yolo11n.pt epochs=10 lr0=0.01
    

์ž์„ธํ•œ ๋‚ด์šฉ์€ Ultralytics CLI ์—์„œ ์‚ฌ์šฉ ์ง€์นจ์„ ์ฐธ์กฐํ•˜์„ธ์š”.

What are the benefits of using AzureML for YOLO11 training?

AzureML provides a robust and efficient ecosystem for training YOLO11 models:

  • ํ™•์žฅ์„ฑ: ๋ฐ์ดํ„ฐ์™€ ๋ชจ๋ธ์˜ ๋ณต์žก์„ฑ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ปดํ“จํŒ… ๋ฆฌ์†Œ์Šค๋ฅผ ์‰ฝ๊ฒŒ ํ™•์žฅํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • MLOps ํ†ตํ•ฉ: ๋ฒ„์ „ ๊ด€๋ฆฌ, ๋ชจ๋‹ˆํ„ฐ๋ง ๋ฐ ๊ฐ์‚ฌ์™€ ๊ฐ™์€ ๊ธฐ๋Šฅ์„ ํ™œ์šฉํ•˜์—ฌ ML ์šด์˜์„ ๊ฐ„์†Œํ™”ํ•˜์„ธ์š”.
  • ํ˜‘์—…: ํŒ€ ๋‚ด์—์„œ ๋ฆฌ์†Œ์Šค๋ฅผ ๊ณต์œ ํ•˜๊ณ  ๊ด€๋ฆฌํ•˜์—ฌ ํ˜‘์—… ์›Œํฌํ”Œ๋กœ์šฐ๋ฅผ ๊ฐœ์„ ํ•˜์„ธ์š”.

์ด๋Ÿฌํ•œ ์žฅ์  ๋•๋ถ„์— AzureML์€ ๋น ๋ฅธ ํ”„๋กœํ† ํƒ€์ž…๋ถ€ํ„ฐ ๋Œ€๊ทœ๋ชจ ๋ฐฐํฌ์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๋‹ค์–‘ํ•œ ํ”„๋กœ์ ํŠธ์— ์ด์ƒ์ ์ธ ํ”Œ๋žซํผ์ž…๋‹ˆ๋‹ค. ๋” ๋งŽ์€ ํŒ์€ AzureML ์ž‘์—…์„ ํ™•์ธํ•˜์„ธ์š”.

How do I troubleshoot common issues when running YOLO11 on AzureML?

Troubleshooting common issues with YOLO11 on AzureML can involve the following steps:

  • ์ข…์†์„ฑ ๋ฌธ์ œ: ํ•„์š”ํ•œ ํŒจํ‚ค์ง€๊ฐ€ ๋ชจ๋‘ ์„ค์น˜๋˜์–ด ์žˆ๋Š”์ง€ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค. ํ•„์š”ํ•œ ํŒจํ‚ค์ง€๊ฐ€ ์„ค์น˜๋˜์–ด ์žˆ๋Š”์ง€ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค. requirements.txt ํŒŒ์ผ์—์„œ ์ข…์†์„ฑ์„ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค.
  • ํ™˜๊ฒฝ ์„ค์ •: ๋ช…๋ น์„ ์‹คํ–‰ํ•˜๊ธฐ ์ „์— ์ฝ˜๋‹ค ํ™˜๊ฒฝ์ด ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ํ™œ์„ฑํ™”๋˜์—ˆ๋Š”์ง€ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค.
  • ๋ฆฌ์†Œ์Šค ํ• ๋‹น: ์ปดํ“จํŒ… ์ธ์Šคํ„ด์Šค์— ๊ต์œก ์›Œํฌ๋กœ๋“œ๋ฅผ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋Š” ์ถฉ๋ถ„ํ•œ ๋ฆฌ์†Œ์Šค๊ฐ€ ์žˆ๋Š”์ง€ ํ™•์ธํ•˜์„ธ์š”.

์ถ”๊ฐ€ ์ง€์นจ์€ YOLO ์ผ๋ฐ˜ ๋ฌธ์ œ ๋ฌธ์„œ๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.

AzureML์—์„œ Ultralytics CLI ๋ฐ Python ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๋ชจ๋‘ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‚˜์š”?

์˜ˆ, AzureML์„ ์‚ฌ์šฉํ•˜๋ฉด Ultralytics CLI ๋ฐ Python ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๋ชจ๋‘ ์›ํ™œํ•˜๊ฒŒ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

  • CLI: ๋น ๋ฅธ ์ž‘์—…๊ณผ ํ„ฐ๋ฏธ๋„์—์„œ ์ง์ ‘ ํ‘œ์ค€ ์Šคํฌ๋ฆฝํŠธ๋ฅผ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ์ด์ƒ์ ์ž…๋‹ˆ๋‹ค.

    yolo predict model=yolo11n.pt source='https://ultralytics.com/images/bus.jpg'
    
  • Python ์ธํ„ฐํŽ˜์ด์Šค: ์‚ฌ์šฉ์ž ์ง€์ • ์ฝ”๋”ฉ๊ณผ ๋…ธํŠธ๋ถ ๋‚ด ํ†ตํ•ฉ์ด ํ•„์š”ํ•œ ๋ณต์žกํ•œ ์ž‘์—…์— ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค.

    from ultralytics import YOLO
    
    model = YOLO("yolo11n.pt")
    model.train(data="coco8.yaml", epochs=3)
    

๋” ์ž์„ธํ•œ ์ง€์นจ์€ ์—ฌ๊ธฐ์™€ ์—ฌ๊ธฐ ๋น ๋ฅธ ์‹œ์ž‘ ๊ฐ€์ด๋“œ๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.

What is the advantage of using Ultralytics YOLO11 over other object detection models?

Ultralytics YOLO11 offers several unique advantages over competing object detection models:

  • ์†๋„: Faster R-CNN ๋ฐ SSD์™€ ๊ฐ™์€ ๋ชจ๋ธ์— ๋น„ํ•ด ์ถ”๋ก  ๋ฐ ํ•™์Šต ์‹œ๊ฐ„์ด ๋” ๋น ๋ฆ…๋‹ˆ๋‹ค.
  • Accuracy: High accuracy in detection tasks with features like anchor-free design and enhanced augmentation strategies.
  • ์‚ฌ์šฉ ํŽธ์˜์„ฑ: ์ง๊ด€์ ์ธ API์™€ CLI ๋ฅผ ํ†ตํ•ด ์ดˆ๋ณด์ž๋‚˜ ์ „๋ฌธ๊ฐ€ ๋ชจ๋‘ ๋น ๋ฅด๊ฒŒ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

To explore more about YOLO11's features, visit the Ultralytics YOLO page for detailed insights.


๐Ÿ“… Created 11 months ago โœ๏ธ Updated 12 days ago

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