Wikimedia Commons Research Image Dataset Builder
Build a research image dataset from Wikimedia Commons categories for computer vision or academic study. Point the Actor at a category page and it collects openly licensed photos above 500px wide, deduplicates by content hash, and stores each image plus a dataset row with dimensions, format, and source URL. Assemble labeled training sets with fully traceable provenance.
Input
Output fields
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The Bulk Image Downloader: Crawl Sites, Dedupe Photos, Export ZIP Actor is ready to run with the inputs already set for "Wikimedia Commons Research Image Dataset Builder". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Wikimedia Commons Research Image Dataset Builder" task
The Bulk Image Downloader: Crawl Sites, Dedupe Photos, Export ZIP Actor will start running based on the input automatically. You can also change all the input fields, like URLs to Process, URL Mode, and more, to match your specific use case.
Receive the "Wikimedia Commons Research Image Dataset Builder" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as input, SHA-256, binary, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Wikimedia Commons Research Image Dataset Builder" task via API.
Integrate "Wikimedia Commons Research Image Dataset Builder" into your workflow
Connect "Wikimedia Commons Research Image Dataset Builder" with 100+ integrations, or run it via API or MCP.
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