INSPECT (Image-Text Network for Systematic Pest Classification Task), Multimodal Few-Shot Crop Pest & Disease Recognition with Image-Text Alignment & Fusion.
Code for my Master's Thesis in Data Science: Pest Insect Classification on the IP102 Dataset. The paper focuses on improving classification performance on this dataset by addressing two of its major issues, namely class imbalance and intra-class variance.
About Insect pests significantly impact agricultural yields, and accurate recognition helps prevent economic losses. This project uses transfer learning on the IP102 dataset with ResNet-50 pre-trained on ImageNet.
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