Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)

Показать описание

Sliding window object detection is a technique that allows you to detect objects in a picture. This technique is not very efficient as it is very compute intensive. Recently new techniques has been discovered that tried to improve performance such as R CNN, Fast R CNN, Faster R CNN etc. YOLO (You only look once) is a state of the art most modern technique that outperforms all other previous techniques such as sliding window object detection, R CNN, Fast and Faster R CNN etc. We will cover YOLO in future videos.

#objectdetection #deeplearningobjectdetection #slidingwindowobjectdetection #deeplearningtutorial

#️⃣ Social Media #️⃣

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

Рекомендации по теме

Комментарии

yolo, ys sir i am eagerly waiting to learn about this, thanks for such video sir, huge respect

gurdeepsinghbhatia

Sir will an implementation of this in code be covered in the future? Am waiting for the YOLO video 😁

calebchua

superb explanation sir... thanks a lot for your effort and time to share your knowledge

bhaskargg

Please do a implementation of this project, it will help a lot

krishnasahu

YOLO name is fancy to for this video....

yogeshbharadwaj

Sir apki ise Playlist me Tensflow Pytorch keras Advance level takk ya plz bta doo

rishuthakur

R CNN uses selective search technique whereas Faster R CNN uses sliding window technique before RPN. In Faster R CNN sliding window helps to find out the coordinate of the anchor of the bounding box.

abhisekdatta

Very good video, gives a good introduction to the topic!

ilmu

Would you please demonstrate how to use python to implement the sliding window object detection?

SWGUY-gwjn

will we not do this complete project????

sahilgupta

Can you please explain how to convert image to text file

radhikaannam

Good thanks but make a few videos on hindi channel like this and Data science related

arshad

Can we use cropped images to train yolo?

karthikacharya

hi sir can we get the ppt also in deep learning tutorials and Machine Learning tutorials that you have used to explain the concepts

rahulrangu

Sir i wonder if you can share your power point or presentation file???? ¿

marygh

Sir, what is moving unit of sliding window?

AnandKumar-hlpq

bro can you add sub English for this video ?

NguyenNhan-ygcb

Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)

Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)

Lecture 13.2: Object Detection [Sliding Window Approach]

Sliding Window Detection

C4W3L03 Object Detection

C4W3L04 Convolutional Implementation Sliding Windows

Object Detection with Sliding Window and Binary Classification

Object Detection Part 1: R-CNN, Sliding Window and Selective Search

Sliding windows - Deep Learning in Computer Vision

Longest Repeating Character Replacement in Java | Interview Question |

Sliding Window for Object Detection

Lecture 13.2 - Object Detection [Introduction to Sliding Window, Template Matching]

Object detection with deep learning and sliding window

Lane Detection Using Sliding Windows

Window Based Object Detection

Object detection - Image pyramids & sliding window

Self-Driving Cars - Lecture 10.3 (Object Detection: Sliding Window Object Detection)

Lecture 13.3 - Object Detection [Example of Sliding Window Approach]

Example of sliding window for HOG-based SVM vehicle detection

Example of sliding window for HOG based SVM vehicle detection

lane detection with sliding window

Accelerated Computer Vision 3.5 - Sliding Window Method and Non-max Suppression

Introduction to Object Detection in Deep Learning

Sliding window model: Object detection

Lecture 11.1 Object Detection and Sliding Window