Big Public Set of Image Captions and a Free Scoring Tool
This project brings a huge set of pictures paired with descriptions — more than 1.
5 million captions for over 330,000 images.
Most photos get five different, simple lines written by people, so you see many ways to describe the same scene.
The captions are human-written, not made by machines, which helps apps learn real language and style.
Along with the data there's a public evaluation server you can send captions to, it checks them with several common tests and returns scores so you know how good a caption is.
That makes comparisons fair, since everyone uses the same rules.
The setup helps students, creators and developers improve apps that write captions for photos, and it speeds up research, because results are easier to compare.
Try it, share results, and watch caption tools get better — slowly but steady, the machines learn to speak like people.
Read article comprehensive review in Paperium.net:
Microsoft COCO Captions: Data Collection and Evaluation Server
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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