Indonesian Plant Leaf Dataset: Ruskus, Alang-alang, Bambu Rezeki Putih, Rumput Bambu, and Rumput Gajah Mini

Plant species identification is essential for botanical research and agricultural applications, yet comprehensive image datasets for Indonesian native plants remain limited. This dataset presents a carefully curated collection of 1,395 high-quality plant leaf images across five plant species: Imperata cylindrica (270 images), Axonopus compressus (325 images), Lophaterum gracile (233 images), Dracaena sanderiana (330 images), and Ruscus aculeatus (232 images). All images were captured in Jakarta during January 2020 using a Xiaomi Redmi 5 Plus smartphone within a controlled photography setup consisting of a 30x30x30cm cardboard box with uniform white background and top-mounted camera access for consistent lighting conditions. Each image maintains high resolution at 3000x4000 pixels, ensuring detailed leaf structure visibility for feature extraction and analysis. This dataset provides researchers and practitioners with a standardized resource for developing machine learning models, computer vision applications, and automated plant classification systems for botanical species identification.