A multi-thread crawler framework with many builtin image crawlers provided.
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Updated
Mar 13, 2025 - Python
A multi-thread crawler framework with many builtin image crawlers provided.
Image Dataset Tool (idt) is a cli tool designed to make the otherwise repetitive and slow task of creating image datasets into a fast and intuitive process.
Simple Flickr Image Scraper
Python Flickr API implementation
This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
A Python Library to interface with Flickr REST API, OAuth & JSON Responses
Python script to download faved photos and 'photos of you' from Flickr
Download images including URLs from Google, Bing, Flickr and Instagram hashtags with given keyword
A demo application to visualize the travel information from Google Maps Timeline along with images from Flickr.
A simple, multithreaded image scraper implemented in Python for downloading all images from the Flickr web service for a given keyword and time period.
Python crawler for pulling geo-tagged photos from Flickr
Deep learning-based image dataset cleaning of Flickr. Scraped metadata saved in MongoDB. Web app designed & deployed: https://bit.ly/smart_image_scraper
tried downloading an entire album, could not. So here is the code to do so
Tools to create a labelled dataset of photos for deep learning image classification
This code utilises the twitter API to obtain information on a given geographical region. The code has two main functionalities: obtaining the top 50 trends in a given region (single run), or listening on the twitter API to obtain tweets as they are posted (continuous run).
Simple python script for downloading massive images from flickr
Download up to 4K images with specific keyword(s) from Flickr
A simple Pyhon script to download Flickr profiles with photos description.
Add a description, image, and links to the flickr-api topic page so that developers can more easily learn about it.
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