JASMINUM GRANDIFLORUM FLOWER IMAGES

Published: 1 March 2024| Version 1 | DOI: 10.17632/d4fmbwx7rm.1
Contributor:
Anushya Alphonse

Description

The Jasminum Grandiflorum dataset is meticulously organized into Training, Testing, and Validation folders, each subdivided into bud, flower, and shrunken categories. This framework facilitates robust image classification tasks and rigorous evaluation of deep learning models. The Training set contains images representing various developmental stages, crucial for training algorithms accurately. The Testing set provides unbiased assessment by containing separate images for model evaluation. Finally, the Validation set aids in refining models during training through fine-tuning and parameter optimization processes, ensuring their efficacy and adaptability.

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Categories

Artificial Intelligence, Computer Vision, Image Classification

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