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README.md

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 license: gpl-3.0
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+# Fish Disease Classification Model
+
+This repository contains a model trained for classifying various fish diseases using Hugging Face's Transformers library. The model is trained to classify the following fish diseases:
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+
+1. **Tumor and deformity attack**
+2. **Polydactyly**
+3. **Hydrocephalus and swim bladder**
+4. **Holes in the head**
+5. **Nopez (I couldn't find a direct translation, it seems like a term specific to a certain context)**
+6. **Parasite in the mouth**
+7. **Catfish burn**
+8. **Gills**
+9. **Lernea worm**
+10. **Fungi**
+11. **Ich white spot**
+12. **Blind eye**
+13. **Fin rot**
+14. **Healthy**
+
+## Dataset
+
+The model is trained on a diverse dataset containing images of fish affected by different diseases as well as healthy fish samples. The dataset is labeled with the aforementioned disease categories to facilitate supervised training.
+
+[dataset base](https://huggingface.co/datasets/jero98772/CuraPeces_Background)
+[better dataset(removed background)](https://huggingface.co/datasets/jero98772/CuraPeces_Removed_background)
+
+## Model Architecture
+
+The classification model is built upon state-of-the-art deep learning architecture, leveraging the power of convolutional neural networks (CNNs) for image classification tasks. It utilizes transfer learning techniques, starting with a pre-trained backbone network (e.g., ResNet, EfficientNet) and fine-tuning it on the fish disease dataset to adapt to the specific classification task.
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+
+
+
+Happy classifying fish diseases! 🐟🔍