Dataset Daun Herbal CNN

Plants are one of the most important species on earth. Its role in the ecosystem, preventing natural disasters, and ingredients of many medicines are the reasons for protecting this species. The amount of biodiversity in plants is one of the challenges to maintaining biodiversity conservation.
Therefore, we need a way to protect biodiversity.

The first step that can be done is to identify plant species. By knowing the identity of the plant, information about the type, origin, benefits, and methods of conservation of the plant can be known later.
Plants have several parts, such as roots, stems, fruits, flowers, and leaves. Identification of plants based on their leaves is more efficient because the leaves are almost there at all times, are easier to reach, and cause minor damage to the plant if the leaves are picked.
In this dataset, there are pictures of tropical leaves, especially those that can grow in Indonesia. Indonesia was chosen because Indonesia is one of the countries with the greatest biodiversity. Indonesia is also one of the countries that have tropical rain forests. There are three plant species contained in this dataset, such as Psidium guajava (Jambu Biji), Piper Betle (Sirih) and Tea Leaves (Daun Teh) . The total dataset is 3000 images. Each species has 1000 high-resolution images. Folders are named according to names in Indonesian. Each image has a white background. The format for all images is .jpg. In addition, the dimension of each image is 1600 x 1200.
CNN Herbal Leaf Dataset can be used to develop plant identification models using artificial intelligence. By releasing this dataset to the public, we look forward to stimulating research and adding content to the existing leaf datasets.