We have found the Needle in haystack! 🪡🔍
Needle is an open-source image retrieval database with high accuracy that can easily handle complex queries in natural language. It is Fast, Efficient, and Precise, outperforming state-of-the-art methods. Born from high-end research, Needle is designed to be accessible to everyone while delivering top-notch performance. Whether you’re a researcher, developer, or an enthusiast, Needle opens up innovative ways to explore your image datasets. ✨
See Needle in Action
*Watch as Needle transforms natural language queries into precise image retrieval results in real time.*Comparison to State-of-the-Art Methods
Curious how Needle measures up against other cutting-edge approaches? Here, you’ll soon find performance plots that compare Needle with OPEN-AI CLIP image retrieval method for LVIS, Caltech256 and BDD100k.
Mean Average Precision Across Datasets (All Queries)
Mean Average Precision Across Datasets (Hard Queries)
User Study Preferences
Get Started Today!
Ready to revolutionize your image retrieval process? 🚀
Install and test Needle now to experience the future of multimodal search!
Tip: For detailed installation instructions, check out the Getting Started section.
Cite us
For a deep dive into Needle’s theoretical guarantees and performance insights, please refer to our research paper.
If you find Needle beneficial for your work, we kindly ask that you cite our work to help support continued innovation.
@article{erfanian2024needle,
title={Needle: A Generative-AI Powered Monte Carlo Method for Answering Complex Natural Language Queries on Multi-modal Data},
author={Erfanian, Mahdi and Dehghankar, Mohsen and Asudeh, Abolfazl},
journal={arXiv preprint arXiv:2412.00639},
year={2024}
}