hansaka01/crophelth_finetune_2nd_stage

CropHelth Round-2 Fine-Tune Dataset Author: Hansaka Rasanjana Project Context: First-year IoT group mini-project at the Sri Lanka Institute of Information Technology (SLIIT) 5,457 brand-new leaf images across 60 of the 112 crop-disease classes — zero overlap with the original 134,016-image crophelth training set. Put together to fine-tune our round-1 model (train_report.json: accuracy 0.9484, macro F1 0.8889), with per-class sampling weighted heavily toward our weak classes.… See the full description on the dataset page: https://huggingface.co/datasets/hansaka01/crophelth_finetune_2nd_stage.

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