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README.md

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+short_description: DataSeeds.AI organization card
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-Edit this `README.md` markdown file to author your organization card.
+# DataSeeds.AI
+
+Rights-cleared image and video training data, produced to spec by a managed crowd of photographers and on-the-ground collectors. Part of Zedge.
+
+## What you will find here
+
+- **DSD sample dataset**: 7,770 peer-ranked photographs with scene descriptions, object labels, segmentation masks and full EXIF. Apache 2.0.
+- **Baselines**: LLaVA-OneVision and BLIP2 fine-tuned on DSD, with the training code on [GitHub](https://github.com/DataSeeds-ai/DSD-finetune-blip-llava).
+- **Paper**: [Peer-Ranked Precision](https://huggingface.co/papers/2506.05673), on whether peer-ranked, aesthetically scored data fine-tunes better than scraped web data.
+- **Coming**: an open egocentric video sample for Physical AI and robotics.
+
+## How the data is made
+
+Every image and clip is captured by a known contributor under a consent agreement, ranked by the community, and documented for GDPR, CCPA and BIPA. Provenance travels with the file.
+
+## Need more than the sample?
+
+Larger collections, custom production and annotation: [dataseeds.ai](https://www.dataseeds.ai/) or sales@dataseeds.ai.