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| title: README | |
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| https://cdn-uploads.huggingface.co/production/uploads/6ae0fe779baaa10b775edbfd/mlI7tZfPDrZml8F4rSN0l.png | |
| # LexData Labs | |
| LexData Labs builds training data for computer vision systems that run in the physical world: energy infrastructure, manufacturing lines, vehicle and property inspection, and oil and gas operations. | |
| This org hosts our open datasets, benchmarks, and tools. | |
| ## Lexiqal | |
| **LexData Industrial Quality Assessment Leaderboard** *(coming soon)* | |
| Most vision benchmarks test models on everyday photos. Lexiqal tests them on the conditions that break industrial deployments: glare, night and thermal imagery, weather, occlusion, motion blur, and defects that look a lot like normal variation. | |
| - **Open data.** Built from public Hugging Face datasets in industrial and mechanical domains. Each source dataset keeps its original license and attribution. | |
| - **Held-out test split.** A private test split backs the leaderboard so scores stay meaningful. | |
| - **Per-condition results.** Scores are broken down by domain and condition. | |
| Submission instructions and the first domain release will be posted here. | |
| ## Links | |
| - Website: [lexdatalabs.com](https://lexdatalabs.com) | |
| - GitHub: [github.com/LexData-Labs](https://github.com/LexData-Labs) | |
| Have a dataset you think belongs in Lexiqal, or found a labeling error? Open a discussion on the relevant repo. |