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- ---
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- datasets:
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- - print1Username/COS30082-Assignment-1
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- language:
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- - en
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- - zh
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- base_model:
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- - microsoft/resnet-50
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- pipeline_tag: image-classification
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- tags:
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- - image-classification
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- - pytorch
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- metrics:
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- - accuracy
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- library_name: timm
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- ---
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-
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- <div align="center">
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-
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- [!\[English\]\(https://img.shields.io/badge/Language-English-blue?style=for-the-badge)](README.md)
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- [!\[简体中文\]\(https://img.shields.io/badge/Language-%E7%AE%80%E4%BD%93%E4%B8%AD%E6%96%87-red?style=for-the-badge)](README.zh-CN.md)
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- </div>
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-
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- # COS30082 Assignment 1 - Bird Species Classification
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-
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- ## Model Description
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- This is an image classification model trained to identify 200 different bird species from the Caltech-UCSD Birds 200 (CUB-200) dataset. This model was developed as part of the COS30082 Assignment 1.
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-
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- ## Intended Use & Limitations
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- - **Intended Use**: Academic purpose for predicting bird species based on images.
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- - **Limitations**: The model is specifically trained on North American bird species included in the CUB-200 dataset. It may not perform well on bird species outside this dataset or in significantly different environments/lighting conditions.
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-
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- ## Training Data
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- The model was trained using the **Caltech-UCSD Birds 200 (CUB-200)** dataset, which contains photos of 200 bird species.
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- - Dataset source: http://www.vision.caltech.edu/visipedia/CUB-200.html
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-
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- ## Evaluation Results
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- Based on the testing dataset provided, the model achieves the following performance metrics as required by the assignment guidelines:
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- - **Top-1 accuracy**: 78.5%
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- - **Average accuracy per class**: 77.2%
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-
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- ## How to Use
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- Here is how to load and use the model in PyTorch:
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-
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- ```python
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- import torch
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- from huggingface_hub import hf_hub_download
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-
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- # Define your model architecture first
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- # model = MyBirdClassifier()
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-
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- # Download and load the weights
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- model_path = hf_hub_download(repo_id="print1Username/COS30082-Assignment-1-model", filename="bird_model.pth")
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- model.load_state_dict(torch.load(model_path, map_location="cpu"))
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- model.eval()
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- ```
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-
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- <div align="center">
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-
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- 语言切换: [English](README.md) · [简体中文](README.zh-CN.md)
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- </div>