WMC-Leafset
Description
Wax gourd (Benincasa hispida (Thunb.) Cogn.), and Mangalore cucumber (Cucumis melo L subsp. agrestis var. conomon) belongs to the Cucurbitaceae family, are widely cultivated across the country due to their high nutritional value, rich mineral content, and short growing cycles making these crops a preferred choice among farmers. This dataset focuses on capturing disease symptoms of cucurbits family species in real-time field conditions with complex background. The dataset consists of image samples containing multiple leaves affected by leaf miner ,pest infestations caused by defoliators captured in varying backgrounds and across stages along with healthy leaves. These serve as a valuable source that can be utilized to develop machine learning solutions to optimize feature extraction and perform object detection and pattern recognition methods in examining early plant disease detection, which is crucial for effective control and timely interventions. The dataset also enables researchers to conduct image pre-processing to improve image quality and leaf segmentation can be performed to remove background noise such as soil, polythene cover, weeds and other objects resembling the foreground. Researchers studying Wax gourd and Mangalore cucumber in different geographical regions or under diverse farming systems can use this dataset for direct comparisons with their own collected data.
Files
Steps to reproduce
Wax Gourd and Mangalore Cucumber leaf images were collected from Hadinaru , Hulimahu village, east,Nanjangud, Mysore, Cauvery Basin, Karnataka, Southern India, India, South Asia, Asia. Data has been captured with various mobile resolutions in a complex background with overlapping leaves that resonates with in-field scenarios. The dataset was annotated with the Makesense image annotation tool. During labelling, both foreground and background diseased objects were annotated carefully to ensure the precise identification of leaf miners and defoliator damage caused by pests. Object detection models can be used to train, validate and test to find the regions of leaf miner, pest disease for Wax gourd and Mangalore cucumber. Overall accuracy of the plant can also be inferred with the samples covering overall leaf of the plant. Sample annotations in .txt format have been added which depicts diseased leaf miner, pest infestations.
Institutions
- Amrita Vishwa Vidyapeetham School of Arts and Sciences