MixCount

Summary

.mixcount-stats { display: grid; grid-template-columns: repeat(5, minmax(0, 1fr)); gap: 10px; max-width: 900px; margin: 0 auto 1.5em; } .mixcount-stat { background: linear-gradient(180deg, #f8fbfc 0%, #eef4f7 100%); border: 1px solid #d8e4ea; border-radius: 10px; padding: 0.85em 0.5em; text-align: center; } .mixcount-stat b { display: block; font-size: 1.35em; color: #143038; } .mixcount-stat span { display: block; margin-top: 0.3em; font-size: 0.82em; color: #4f6468; line-height: 1.3; } .mixcount-lead { max-width: 820px; margin: 0 auto 1.5em; padding: 1em 1.15em; background: #f7fafb; border-left: 4px solid #5ba4c4; border-radius: 0 8px 8px 0; line-height: 1.55; } .mixcount-compare-wrap { display: flex; justify-content: center; margin: 0 auto 1.25em; overflow-x: auto; } .mixcount-compare-wrap table { margin: 0 auto; } @media (max-width: 720px) { .mixcount-stats { grid-template-columns: repeat(2, 1fr); } }

Keywords

hf-dataset vision---classification · -vision---detection parquet optimized-parquet image text datasets dask polars mlcroissant counting synthetic computer-vision open-vocabulary segmentation has-paper

Topics

Vision / Classification, Vision / Detection

Research notes

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