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Project-AgML/tuta_absoluta_tomato_leaf_classification

Tuta Absoluta Tomato Leaf Classification TomatoEbola: 326 field photographs of tomato leaves from three farms in Yobe State, Nigeria (Dikumari, Kasaisa and Kukareta), labelled healthy or infected by the Tuta absoluta leaf miner, collected for a study on early tomato disease detection with vision transformers. The farm is kept as a column. The dataset contains 326 images across 2 classes: healthy, infected.Images per class: healthy: 152 infected: 174 This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tuta_absoluta_tomato_leaf_c

Author / organizationProject-AgML
License (as declared)mit
Downloads0 (as reported by Hugging Face)
Likes0
Created25 October 2026
Last updated at source25 October 2026
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  • 25 Oct 2026 License: none → mit
  • 25 Oct 2026 Description: none → Tuta Absoluta Tomato Leaf Classification TomatoEbola: 326 field photographs of tomato leaves from three farms in Yobe State, Nigeria (Dikumari, Kasaisa and Kukareta), labelled healthy or infected by the Tuta absoluta leaf miner, collected f
  • 25 Oct 2026 Topics added task_categories:image-classification

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