Marktechpost

JULY 17, 2023

The system analyzes visual data before categorizing an object in a photo or video under a predetermined heading. One of the most straightforward computer vision tools, TensorFlow, enables users to create machine learning models for computer vision-related tasks like facial recognition, picture categorization, object identification, and more.

Computer Vision 98

Computer Vision Neural Network Machine Learning Deep Learning 98

Towards AI

JULY 19, 2023

We will have two classes of images where the cracked concrete surface will be categorized as positive and the images with no cracks on the surface will be categorized as negative. 1030–1033, 2016. Let’s review the data set: There are 40,000 RGB images wherein 20,000 are positive and the rest 20,000 are negative. Adhikari, O.

Computer Vision 98

Computer Vision Deep Learning Categorization Algorithm 98

Mlearning.ai

FEBRUARY 11, 2023

A Simple Step-to-Step Guide to Chi-Square Tests in Python Introduction In our last article , we used the t-test. Also, this parametric test is not suitable for categorical variables. They can only involve a categorical variable as an independent variable. They can only involve a categorical variable as an independent variable.

Categorization 52

Categorization Python Explainability ML 52

Artificial Corner

JUNE 18, 2023

The DeepPavlov Library is implemented in Python and supports Python versions 3.6–3.9. Interaction with the models is possible either via the command-line interface (CLI), the application programming interface (API), or through Python pipelines. Please note that specific models — may have additional installation requirements.

ChatGPT 105

ChatGPT Natural Language Processing BERT NLP 105

AWS Machine Learning Blog

FEBRUARY 28, 2023

Perform one-hot encoding To unlock the full potential of the data, we use a technique called one-hot encoding to convert categorical columns, like the condition column, into numerical data. One of the challenges of working with categorical data is that it is not as amenable to being used in many machine learning algorithms.

ML 81

ML Machine Learning Categorization NLP 81

PyImageSearch

NOVEMBER 13, 2023

2015 ; Redmon and Farhad, 2016 ), and others. If you’re interested in learning more about IoU, including a walkthrough of Python code demonstrating how to implement it, please see our earlier blog post. 2016 ), or a smaller, more compact network for resource-contained devices (e.g., 2015 ), SSD ( Fei-Fei et al., 2015 ; He et al.,

Convolutional Neural Networks 119

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 119

Viso.ai

DECEMBER 18, 2023

YOLOv2 In 2016, Joseph Redmon and Ali Farhadi released YOLOv2, which could detect over 9000 object categories. YOLO v8 also features a Python package and CLI-based implementation, making it easy to use and develop. The benefit of YOLOv8 is that Ultralytics allows you to apply the model directly through the CLI and as a Python package.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Algorithm 52