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yolo-testing
Tushar86/yolo-testing
yolo-testing is a image classification model from Tushar86. Use it when you need a label for an image. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 1471154053 - CO2 Emissions (in grams): 179.1154
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Model card
From the Hugging Face model README
Usage
from transformers import pipeline
p = pipeline("image-classification", model="juliensimon/autotrain-food101-1471154053")
result = p("my_image.jpg")
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1471154053
- CO2 Emissions (in grams): 179.1154
Validation Metrics
- Loss: 0.301
- Accuracy: 0.915
- Macro F1: 0.915
- Micro F1: 0.915
- Weighted F1: 0.915
- Macro Precision: 0.917
- Micro Precision: 0.915
- Weighted Precision: 0.917
- Macro Recall: 0.915
- Micro Recall: 0.915
- Weighted Recall: 0.915
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- Created
- Oct 11, 2023
- Updated
- Oct 11, 2023