Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
-
Updated
May 24, 2024 - Python
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
For converting image annotation datasets from one format into another.
Image augmentation extension for the image-dataset-converter library.
Visualization extension for the image-dataset-converter library.
Repository with examples for the image-dataset-converter libraries.
Redis integration for the image-dataset-converter library.
Video support for the image-dataset-converter library.
Image statistics extension for the image-dataset-converter library.
Meta-library that combines all image-dataset-converter libraries.
Interactively and visually explore large-scale image datasets used in machine learning using treemaps. VIS 2022
ImVisible: Pedestrian Traffic Light (PTL) Dataset, Lightweight CNN (LytNet), and Mobile Application for the Visually Impaired (CAIP '19, ICCV Workshops '19)
Dataset of No-fog and Fog
A practice to handle multi-modal datasets in a unified way.
Image resizer is a python script for large datasets with multiprocessing support
OpenImages is a large set of images for computer vision, artificial intelligence, personal projects and commercial use. The images are completely free to use and do not require permission to use, modify or distribute.
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Demonstration of using k-Means to cluster images of handwritten digits (MNIST dataset). Source Code for corresponding article on Medium.
Load image datasets as NumPy arrays
Add a description, image, and links to the image-dataset topic page so that developers can more easily learn about it.
To associate your repository with the image-dataset topic, visit your repo's landing page and select "manage topics."