metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- sgenzer/autotrain-data-seven-segment-led
widget:
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
example_title: Palace
co2_eq_emissions:
emissions: 0.6089615124864401
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 88543143697
- CO2 Emissions (in grams): 0.6090
Validation Metrics
- Loss: 0.503
- Accuracy: 0.868
- Macro F1: 0.862
- Micro F1: 0.868
- Weighted F1: 0.871
- Macro Precision: 0.871
- Micro Precision: 0.868
- Weighted Precision: 0.883
- Macro Recall: 0.862
- Micro Recall: 0.868
- Weighted Recall: 0.868