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--- |
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license: apache-2.0 |
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tags: |
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- en |
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- image classification |
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- fastai |
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model-index: |
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- name: ohbugger2k by flobbit |
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results: |
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- task: |
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name: image classification |
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type: image-classification |
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metrics: |
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- name: accuracy |
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type: acc |
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num_train_epochs: 7 |
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learning_rate: 0.002 |
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value: 46 |
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metrics: |
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- accuracy |
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pipeline_tag: image-classification |
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--- |
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# Oh! Bugger! 2k Insect Classification |
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## Model description |
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The model is used to classify insect images into one of the 2000 North American species/classes. `resnet18` was used for training. |
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## Intended uses & limitations |
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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. |
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There are likely other biases in the training data. |
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## Training and evaluation data |
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The images used in training were scraped from the internet. |
