Update README.md

README.md

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 # Background
 
-This dataset comprises 1.3 cm resolution aerial images of grasslands in western Montana, USA, captured by a commercial drone. Many scenes contain leafy spurge (\textit{Euphorbia esula}), introduced to North America, now widespread in rangeland ecosystems, which is highly invasive and damaging to crop production and biodiversity. Technicians surveyed 1000 points in the study area, noting spurge presence or absence, and recorded each point’s position with precision global navigation satellite systems. We extracted crops from an orthoimage at these locations. We publicly release these images and metadata as a Hugging Face Dataset, accessible in one line of code. Our aim is to invite the research community to develop classifiers as early warning systems for spurge invasion. We established baselines for state-of-the-art vision models, achieving 0.85 test accuracy, demonstrating the feasibility yet difficulty of this classification task.
+This dataset comprises 1.3 cm resolution aerial images of grasslands in western Montana, USA, captured by a commercial drone. Many scenes contain leafy spurge (*Euphorbia esula*), introduced to North America, now widespread in rangeland ecosystems, which is highly invasive and damaging to crop production and biodiversity. Technicians surveyed 1000 points in the study area, noting spurge presence or absence, and recorded each point’s position with precision global navigation satellite systems. We extracted crops from an orthoimage at these locations. We publicly release these images and metadata as a Hugging Face Dataset, accessible in one line of code. Our aim is to invite the research community to develop classifiers as early warning systems for spurge invasion. We established baselines for state-of-the-art vision models, achieving 0.85 test accuracy, demonstrating the feasibility yet difficulty of this classification task.
 
-Please visit out
+Please visit our website for updates and related work: [Leafy Spurge Dataset](https://leafy-spurge-dataset.github.io)
 # Data loading and pre-processing
 
 ```python