Plant Species Classification Dataset A comprehensive dataset containing 64 different plant species with high quality images for machine learning and computer vision applications. Model Trainig code and trainned model with detailed performance analysis is present on the Github https://github.com/jameelkhalidawan/Plant Detection Model using Yolo Dataset Overview This dataset is designed for plant species classification tasks and contains images of various plant species organized in a structured format suitable for training deep learning models. Key Statistics Total Classes : 64 plant species Total Images : 152,042 images Image Format : JPG Dataset Split : Training: 106,395 images Validation: 22,779 images Test: 22,868 images Dataset Structure Plant Species Included The dataset contains 64 diverse plant species including: Trees and Shrubs Acacia dealbata Link Liriodendron tulipifera L Nandina domestica Thunb Pyracantha coccinea M.Roem Schefflera arboricola (Hayata) Merr Smilax aspera L Trachelospermum jasminoides (Lindl.) Lem Zamioculcas zamiifolia (Lodd.) Engl Herbs and Wildflowers Aegopodium podagraria L Anemone alpina L Anemone hepatica L Anemone hupehensis (Lemoine) Lemoine Anemon…
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