Displaying 1 to 4 from 4 results

google-images-download - Python Script to download hundreds of images from 'Google Images'

  •    Python

This is a command line python program to search keywords/key-phrases on Google Images and optionally download images to your computer. You can also invoke this script from another python file. This is a small and ready-to-run program. No dependencies are required to be installed if you would only want to download up to 100 images per keyword. If you would want more than 100 images per keyword, then you would need to install Selenium library along with chromedriver. Detailed instructions in the troubleshooting section.

FaceGrab - A tool to collect public images from Facebook and create an image dataset for training computer vision applications like gender recognition, and face detection

  •    Python

During an AI class in college, I was learning about computer vision applications such as face detection and gender recognition. I implemented the respective algorithms and wanted to try them out on a new dataset. Earlier when Facebook launched their graph API, I came across an API endpoint in Facebook graph search which provides a way to get the full-size profile picture associated with any userid without login/signup. When I contacted Facebook support about this, they responded that all the profile images are public by default. Apparently, Facebook's privacy policy states that all the profile images are in public domain.

MNIST-Sequence - A tool to generate image dataset for sequences of handwritten digits using MNIST database

  •    Python

The MNIST database is a large database of handwritten digits that is commonly used for training various image processing systems. The database is also widely used for training and testing in the field of machine learning. The goal of this project is to use the above database of handwritten digit images to generate images representing sequences of handwritten digits. The project also provides a utility to generate and save a set of training/test image dataset of MNIST sequences with labels.

imagemonkey-core - ImageMonkey is an attempt to create a free, public open source image dataset.

  •    Go

ImageMonkey is a free, public open source dataset. With all the great machine learning frameworks available it's pretty easy to train pre-trained Machine Learning models with your own image dataset. However, in order to do so you need a lot of images. And that's usually the point where it get's tricky. You either have to create the training images yourself or scrape them together from various datasources. ImageMonkey aims to solve this problem, by providing a platform where users can drop their photos, tag them with a label, and put them into public domain. There are basically two ways to set up your own ImageMonkey instance. You can either set up everything by hand, which gives you the flexibility to choose your own linux distribution, monitoring tools and scrips or you could use our Dockerfile to spin up a new ImageMonkey instance within just a few minutes.