README.md

metadata

license: apache-2.0
tags:
  - en
  - image classification
  - fastai
model-index:
  - name: ohbugger2k by flobbit
    results:
      - task:
          name: image classification
          type: image-classification
        metrics:
          - name: accuracy
            type: acc
            num_train_epochs: 7
            learning_rate: 0.002
            value: 46
metrics:
  - accuracy
pipeline_tag: image-classification

Oh! Bugger! 2k Insect Classification

Model description

The model is used to classify insect images into one of the 2000 North American species/classes. resnet18 was used for training.

Intended uses & limitations

The model was trained on 130133 insect images spread over 2000 species with a minimum of 25 pics in a class. Some classes were trained on too few images. The training pics were not screened for quality. For example, giving the model a picture of a human finger will most likely return an insect species that had finger in a training pic. Or a pic of a bug on the siding of a house will likely return that type of match. There are likely other biases in the training data.

Training and evaluation data

The images used in training were scraped from the internet.