SESBANIA GRANDFLORA
Description
The dataset consists of over 500 images of Sesbania grandiflora, commonly known as bokful, captured using a Redmi 10 Prime mobile camera. The images are classified into two categories: good bokful and bad bokful. Here’s a detailed description of the dataset: ### Data Collection - *Device Used*: Redmi 10 Prime mobile camera. - *Background*: Black background to ensure clear contrast and focus on the bokful. - *Lighting Condition*: Daylight to ensure natural lighting and consistent illumination across all images. ### Categories 1. *Good Bokful*: - *Criteria*: These are the healthy and ideal bokful specimens, characterized by vibrant color, intact structure, and absence of any visible defects or damages. - *Examples of Features*: Fresh green leaves, firm stems, and fully bloomed flowers without any spots, discoloration, or wilting. 2. *Bad Bokful*: - *Criteria*: These bokful specimens exhibit various forms of defects, damage, or signs of disease. - *Examples of Features*: Wilted leaves, discoloration (yellow or brown spots), insect damage, fungal infections, or physical damages like broken stems or torn leaves. ### Image Specifications - *Resolution*: High-resolution images ensuring detailed visibility of the bokful features. - *Format*: Likely JPEG or PNG format, commonly supported by mobile cameras. - *Orientation*: Consistent orientation with the bokful centered in the frame against the black background. ### Data Attributes - *Image ID*: A unique identifier for each image. - *Category Label*: A label indicating whether the bokful is 'good' or 'bad'. - *Image Path*: The file path or URL where the image is stored. - *Metadata (optional)*: Additional information such as the timestamp of capture, GPS coordinates (if available), and camera settings (e.g., ISO, exposure). ### Potential Use Cases - *Agricultural Analysis*: Identifying and classifying bokful for quality control in agricultural production. - *Machine Learning*: Training models for automated detection of plant health and categorization. - *Educational Purposes*: Serving as a aid for teaching plant pathology or horticulture. - *Quality Assurance*: Assisting farmers and gardeners in ensuring the quality of their bokful plants. ### Challenges and Considerations - *Lighting Variability*: Despite daylight conditions, variations in natural light throughout the day might affect the image consistency. - *Background Consistency*: A black background is used to minimize distractions, but ensuring uniform lighting and background cleanliness is crucial. - *Camera Limitations*: While the Redmi 10 Prime offers decent camera capabilities, it might not match professional-grade cameras, which could impact image clarity and detail. ### Data Organization - *Directory Structure*: ├── dataset │ ├── good_bokful │ │ ├── image_001.jpg │ │ ├── image_002.jpg │ │ └── ... │ └── bad_bokful │ ├── image_001.jpg │ ├── image_002.jpg │ └── ...