YOLO11 Tutorial on Object Detection, Segmentation, Pose Estimation & Image Classification

In this video tutorial, we'll learn how to perform object detection, instance segmentation, pose estimation, and image classification using YOLO11.
GitHub: github.com/Aar...
Email id: [e-mail]
Ultralytics YOLO11 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLO11 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.

[@muhammadmujtaba-ai]

I had been into YOLO for 1.5 years, its really interesting to work with such awsm AI advancements.

[@mohammadshahid2114]

Thank you arohi ma'am. For bringing this video.

[@CodeWithAarohi]

You're welcome!

[@soravsingla8782]

Excellent work

[@Sunil-ez1hx]

Excellent content

[@CodeWithAarohi]

Glad you think so!

[@learn_with_gaddal]

Great job🥰
I am working on my graduate project about: detecting people in video and classify them in two categories (kids/adulate). I am using CCTV camera in public area. Can you give me some advice please.

[@CodeWithAarohi]

Email me at [e-mail]

[@kentjustinegilig3245]

hi! thank you for this video! I am making my thesis where I am planning to use yolo11 for labelling drivers if they are drowsy, awake, distracted, and if they are covering the camera for safety reasons can you help me? i just learned coding 2 weeks ago

[@CodeWithAarohi]

What kind of help? If you have any queries you can ask. I will try to help.

[@arpitsharma6055]

Really Insightful Ma'am

[@CodeWithAarohi]

Thank you!

[@brpatil_007]

Mam can you make a video on Conversational Image Recognition Chatbot. Please it would helpful..

[@CodeWithAarohi]

I will try.

[@aneerimmco]

Thank you :)

[@CodeWithAarohi]

You're welcome!

[@zainn7336]

Mam how to make 3d model using 2d images. is there anything there to do this task

[@CodeWithAarohi]

I never tried it but there are options available to perform this task.

[@KumarShiva-n8r]

Madam make spoof detection face. Model please and also run an android

[@fatima-arbab]

Copy move forgery detection in video using machine learning.
Use dataset casia
Model yolo

[@fatima-arbab]

Please make video

[@knowledge53343]

Yes please

[@CodeWithAarohi]

I will try!

[@fatima-arbab]

@@CodeWithAarohi thank u so much 💕

[@Robasdelight]

How much time you can upload this vedio?
Please must share vedio on this topic

[@arshmaanali714]

Plz make videos on gen ai

[@CodeWithAarohi]

Yes, I will continue that soon.

[@antukhan5592]

after 11:41 my camera still turn on, I cant turn it off. how should I turn my camera off with code?

[@CodeWithAarohi]

import cv2
from ultralytics import YOLO
# Load the YOLO model
model = YOLO("yolo11n.pt")
# Open the video file
video_path = "path/to/your/video/file.mp4"
cap = cv2.VideoCapture(video_path)
# Loop through the video frames
while cap.isOpened():
# Read a frame from the video
success, frame = cap.read()
if success:
# Run YOLO inference on the frame
results = model(frame)
# Visualize the results on the frame
annotated_frame = results[0].plot()
# Display the annotated frame
cv2.imshow("YOLO Inference", annotated_frame)
# Break the loop if 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord("q"):
break
else:
# Break the loop if the end of the video is reached
break
# Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()