README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
  - lam
datasets:
  - Livingwithmachines/MapReader_Data_SIGSPATIAL_2022
widget:
  - src: >-
      https://huggingface.co/davanstrien/autotrain-mapreader-5000-40830105612/resolve/main/1.png
    example_title: patch
  - src: >-
      https://huggingface.co/davanstrien/autotrain-mapreader-5000-40830105612/resolve/main/271.png
    example_title: patch
co2_eq_emissions:
  emissions: 0.008077657735064319
pipeline_tag: image-classification

Model Trained Using AutoTrain

Image classification model trained to predict whether a patch of a historic map contains 'railspace' or not. See the dataset used for training for more information on the labels.

• Problem type: Multi-class Classification
• Model ID: 40830105612
• CO2 Emissions (in grams): 0.0081

Validation Metrics

• Loss: 0.038
• Accuracy: 0.995
• Macro F1: 0.983
• Micro F1: 0.995
• Weighted F1: 0.995
• Macro Precision: 0.991
• Micro Precision: 0.995
• Weighted Precision: 0.995
• Macro Recall: 0.975
• Micro Recall: 0.995
• Weighted Recall: 0.995