Update README.md

README.md

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 - **License:** MIT
 - **Contact information:** [email protected]
 
-## Performance
-
-- **Metrics:** Accuracy (100%)
-- **Dataset:** Approximately 5,000 images of EPL team emblems, balanced across classes. Sources and preprocessing steps described in detail further below.
-
-## Data
-
-- **Training data:**
-    - Size: 5,000 images
-    - Class distribution: Balanced (1,000 images per class)
-    - Sources: [English Premier League Logo Detection](https://www.kaggle.com/datasets/alexteboul/english-premier-league-logo-detection-20k-images)
-    - Preprocessing: Resizing to 224x224 pixels, normalization
-- **Potential biases:** Currently unknown biases in the dataset.
-
-## Inference
-
-- **Input:**
-    - Format: JPEG or PNG images
-    - Size: 224x224 pixels
-    - Color space: RGB
-- **Output:** Predicted class probabilities for each of the 5 EPL teams.
-- **Inference API:** [https://huggingface.co/spaces/alifalhasan/epl-top5-emblem-classifier](https://huggingface.co/spaces/alifalhasan/epl-top5-emblem-classifier)
-- **Usage instructions:** Simply upload an image of any of the EPL's top 5 team's emblem to get a prediction.
-
-## Ethics
-
-- **Potential biases:** The model may inherit biases from the training data, such as over- or under-representation of certain team emblems.
-- **Mitigation strategies:** Further exploration of dataset biases and potential augmentation techniques to address them.
-- **Ethical considerations:** 
-    - Awareness of potential biases and limitations in the model's predictions.
-    - Responsible use of the model, avoiding harmful generalizations or discrimination.
-    - Respect for the rights and privacy of individuals and organizations associated with the EPL teams.
 
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