README.md

metadata

license: apache-2.0
datasets:
  - AI-Lab-Makerere/beans
metrics:
  - accuracy
pipeline_tag: image-classification
tags:
  - biology
  - vision
  - image-classification
widget:
  - src: >-
      https://huggingface.co/datasets/martin-rajniak/sample_images/blob/main/angular_leaf_spot_01.jpg
    example_title: Angular Leaf Spot
  - src: >-
      https://huggingface.co/datasets/martin-rajniak/sample_images/blob/main/bean_rust_01.jpg
    example_title: Bean Rust
  - src: >-
      https://huggingface.co/datasets/martin-rajniak/sample_images/blob/main/healthy_01.jpg
    example_title: Healthy
library_name: keras
model-index:
  - name: beans_disease_efficientnetv2s
    results:
      - task:
          type: image-classification
          name: Image Classification
        dataset:
          name: Beans leaf diseases
          type: beans
          args: default
        metrics:
          - type: accuracy
            value: 1
            name: Train Accuracy
          - type: accuracy
            value: 0.9849624037742615
            name: Validation Accuracy
          - type: accuracy
            value: 0.9765625
            name: Test Accuracy

Beans leaf disease classifier based on EfficientNetV2S

This is the EfficientNetV2S model, fine-tuned using the Beans leaf disease dataset.