PLANT SPECIES RECOGNITION USING LEAF IMAGES AND CONVOLUTIONAL NEURAL NETWORKS (CAAR dataset, version 1)
Authors/Creators
Description
The CAAR dataset contains leaf images from plants obtained from the Arboreal Collection at Augusto Ribas Agricultural College (CAAR/UEPG). This plant collection is situated in Augusto Ribas College, located at the Ponta Grossa State University, Ponta Grossa, Paraná, Brasil. The images were taken using a smartphone camera with a resolution of 1659 x 2658 pixels and 24 bits of color depth. For each plant, images samples were collected using a white paper sheet background, varying the leaf orientation. The
number of plant species used to build the dataset is equal to 35. Data augmentation, using rotation and zoom, were used to increase the data size from 730 to 1986 images in this dataset.
Files
data.zip
Additional details
Identifiers
- ISSN
- 2237-4523
References
- Pacheco, I. dos S., Fragoso, R. de O., Gouveia, L. T. de, & Senger, L. J. (2024). Plant species recognition using leaf images and convolutional neural networks. Iberoamerican Journal of Applied Computing, 12(1)