Object detection with Python FULL COURSE | Computer vision

Muchas gracias! muy bien explicado. Tienes algún tutorial de cómo hacer transfer learning y fine tuning de modelos pre entrenados con Yolov8?

In this video, you demonstrated downloading images and then annotating them. Is there any other way to directly download annotated datasets, such as alpacas.

💀💀 his accent is awesome

How to Download Marked Datasets

Amazing video! All the concepts are explained clearly! I would like view a video when you show how to train a model from zero (not pre-trained model) and take it to best performance!

hii , want to know if i should get started with YOLOv8 or openCV

Hey,
what is your opinion on Doccano, it is open source and does similar kind of a job

I am just here to mark my attendance. Thank you sir 😘

Dataset '/Users/Hamza Yousaf/teeth detector/config.yaml' error object of type 'NoneType' has no len()

kindly help me i face this error

Hi plz make a video about sam model.

is there face recognition?

Thank you man! This is means so much to me

Hello professor, could you create a project dedicated to detecting damages in a car?

Thank you, Felipe. Much love :3

muchas gracias, con tus videos logre completar el proyecto de mi curso de intro a machine learning

Interesting Work

Hi!
Can we pass bounding box coordinates as input to our model received from another model as input (either as a frame or image?) in yolo v8
It will be of great help if you could tell….

Model A performs better than Model B.since both IOU & mAP are higher

Thanks bro, your videos helped me in my BTech project

Well done my friend. It will be nice a theorical video about object detection like to detect multiple labels in a specific object (Ex. Two person in a motorcicle)

Gracias por el tiempo que inviertes en crear contenido de gran valor y explicado de manera sencilla y clara, soy fan!

Thanks friend, because of you I got my 1st job in computer vision in healthcare.

Thanks from Africa Zw

A million thanks, that is kind of you to dedicate your time to recording these videos. Merci from Grenoble, France :)

Ola amego

Wow this is incredible , thank you so much 🎉🎉