deliton/idt
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.
This tool helps scientists, researchers, or anyone building AI models quickly create high-quality image datasets for deep learning. You provide search keywords, and it scrapes images from various search engines, then optimizes them by resizing, compressing, and removing duplicates. The output is a structured, ready-to-use image dataset, complete with options to split for training and validation.
231 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly assemble a custom image dataset from web sources for training deep learning models, and you want to automate image collection, optimization, and dataset splitting.
Not ideal if your image data is proprietary, requires highly specialized labeling, or cannot be sourced from public web search engines.
Stars
231
Forks
27
Language
Python
License
MIT
Category
Last pushed
Jan 09, 2021
Commits (30d)
0
Dependencies
6
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/deliton/idt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.