GitHub

ESC-50: Dataset for Environmental Sound Classification

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...
Hosted on MSN

Image classification with CNNs in Keras | Easy guide

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
IEEE

Lightweight Convolutional Neural Network for Automated Histopathology Image Classification on the Path MNIST Dataset

Abstract: Histopathology is crucial for diagnosing many diseases as early as possible, especially cancer. It involves looking at tissue samples under a microscope and checking if something is wrong.
9to5Mac

Apple just dropped a research dataset to help train AI image editing models

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2.5 models. Here are the details. Apple’s research team has ...
GitHub

[FEAT]: Part 2.2: Build baseline MNIST CNN

Build, train, and evaluate a Convolutional Neural Network (CNN) for classifying the MNIST handwritten digits dataset using either TensorFlow or PyTorch. The primary goal is to create a model that ...
Scientific Research Publishing

Hem-CNN: An Efficient Intracranial Hemorrhage Detection Model Using Explainable Deep Learning in Head CT Scan Images ()

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...
IEEE

Kannada-Mnist Classification Using Skip CNN

Abstract: In this paper, we tried out a new pipeline on the new handwritten digits dataset termed Kannada-MNIST for the Kannada script as well as a real-world handwritten dataset termed Dig-MNIST. The ...