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README.md
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##
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- 🛠️ **Open-Source Tooling** — reproducible research infrastructure for the ML community
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##
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<div align="center">
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<img src="logo.svg" width="160" alt="hyper³labs logo" style="margin-bottom: 20px; border-radius: 12px;" />
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<h1>hyper³labs</h1>
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<p style="font-size: 1.2rem; color: #888; margin-top: -10px;">
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<i>Your data is hierarchical. Your models should be too.</i>
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</p>
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<p>
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<a href="https://hyper3labs.github.io"><img src="https://img.shields.io/badge/Website-hyper3labs.github.io-blue?style=flat-square&logo=google-chrome&logoColor=white&color=007A87" alt="Website" /></a>
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<a href="https://github.com/hyper3labs"><img src="https://img.shields.io/badge/GitHub-hyper3labs-black?style=flat-square&logo=github&logoColor=white&color=181717" alt="GitHub" /></a>
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</p>
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</div>
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---
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Welcome to **hyper³labs** (pronounced *Hypercube Labs*) — an applied research and engineering lab building competitive embedding models and tools to inspect, curate, and improve embedding and retrieval systems.
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We believe that **Euclidean space should be a choice, not a default**. We develop representations and visualization methods that respect the intrinsic geometry of data, particularly hierarchical, taxonomic, and non-Euclidean structures.
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## 🔮 Interactive Workbenches (Spaces)
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We develop **HyperView**, an open-source workbench for understanding embedding spaces and dataset/model failures. Explore our live interactive demos:
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* **[🔮 HyperView Main Demo](https://huggingface.co/spaces/hyper3labs/HyperView)** — Our core open-source workbench for visualizing high-dimensional embedding spaces, mapping taxonomy, and diagnosing model/dataset failures.
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* **[🐆 Jaguar Spot Re-ID](https://huggingface.co/spaces/hyper3labs/HyperView-Jaguar-ReID)** — Spot-pattern diagnostic visualization for wildlife conservation. Part of our collaboration on individual identification and diagnostic verification.
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* **[📦 ABO Catalog Explorer](https://huggingface.co/spaces/hyper3labs/HyperView-ABO-Catalog)** — Visualizing taxonomies and fine-grained product hierarchies using the Amazon Berkeley Objects dataset.
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* **[🔍 VisA Industrial Search](https://huggingface.co/spaces/hyper3labs/HyperView-VisA-Manufacturing)** — Anomaly inspection and structural part finding in industrial manufacturing datasets.
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* **[👗 DeepFashion Search](https://huggingface.co/spaces/hyper3labs/HyperView-DeepFashion-Text-Search)** — Exploring zero-shot retrieval, attribute mapping, and structural hierarchies in e-commerce fashion datasets.
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* **[🎯 Precision Region Search](https://huggingface.co/spaces/hyper3labs/precision-region-search-refcocog-hyper3clip)** — Interactive referring expression grounding demo using RefCOCOg and the Hyper3-CLIP model.
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## 🧠 Open Models
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* **[🤗 hyper3labs/hyper3-clip-v0.5](https://huggingface.co/hyper3labs/hyper3-clip-v0.5)** — Our open-weight 512-dimensional Lorentzian (hyperbolic) vision-language checkpoint trained with compositional entailment constraints for hierarchy-sensitive retrieval.
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## 📊 Datasets
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* **[🤗 hyper3labs/jaguar-re-id](https://huggingface.co/datasets/hyper3labs/jaguar-re-id)** — Spot patterns dataset used for individual jaguar identification in the wild.
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* **[🤗 hyper3labs/amazon-berkeley-objects](https://huggingface.co/datasets/hyper3labs/amazon-berkeley-objects)** — Mirror of the Amazon Berkeley Objects dataset used for fine-grained hierarchical product search evaluation.
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* **[🤗 hyper3labs/jaguar-hyperview-demo](https://huggingface.co/datasets/hyper3labs/jaguar-hyperview-demo)** — Stratified subset for spot-pattern verification and debugging.
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## 📄 Publications
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* **Are We Recognizing the Jaguar or Its Background? A Diagnostic Framework for Jaguar Re-Identification**
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*Antonio Rueda-Toicen, Robert Vava, Matin Mahmood.* arXiv:2604.09690 (April 2026).
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[arXiv:2604.09690](https://arxiv.org/abs/2604.09690) | [Hugging Face Dataset](https://huggingface.co/datasets/hyper3labs/jaguar-re-id)
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