Thermal Image Dataset of Okra

The Okra, a fruit widely appreciated globally for its substantial seeds, holds significant importance at the international level. Its value transcends mere culinary appeal, positioning it as a valuable contributor to nutrition, agriculture, and environmental sustainability. The classification of harvested okra into over-matured and sufficiently matured pods post-harvesting brings forth numerous advantages, influencing both quality and culinary aspects. The field of quality inspection for edible items is rapidly evolving, and utilizing thermal images to assess okra maturity offers a non-invasive method for farmers and consumers to efficiently categorize it for various purposes. The FLIR E75 thermal imaging device was employed to capture thermal images of okra, with both the cameras and okra positioned at a distance greater than 0.5 meters. The image acquisition process maintained a controlled environment with a consistent room temperature. The data collection involved systematically selecting representative okra specimens, considering their maturity levels. Visual examination of the selected okra specimens was conducted, and samples were chosen for imaging to ensure accurate labeling and categorization. The collected dataset comprises 501 images, categorized into two main groups: over-matured okras and adequately matured okras. Since thermal images capture temperature distribution over the surface, FLIR-supplied software such as FLIR Thermal Studio and FLIR Research Studio can be utilized to determine the temperature of individual okra specimens. Various color palettes for representing thermal images are available, and the rainbow color palette is employed in this dataset. The FLIR software facilitates temperature measurement at specific points or selected regions, enabling temperature analysis. Moreover, computer vision techniques based on thermal imaging can be applied to these images, ensuring thorough scrutiny for accurate analysis, detection, and classification.