90_Animal_detection-using-ViT
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上传日期：2023-11-01 17:06:14
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sh-1993
说明： “使用VITtransformer进行动物检测，测试精度为97%”项目是一项重点突出、可实现的举措，旨在建立...
(The "Animal Detection Using VIT Transformers with 97% Testing Accuracy" project is a focused and achievable initiative aimed at building an accurate animal detection system. Leveraging Vision Transformer (VIT) models, this project is dedicated to the specific goal of achieving a high testing accuracy of 97% in identifying.)
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90_Animal_Multiclass_Classification_using_ViT (1).ipynb (808926, 2023-11-01)
# Animal Detection Using VIT Transformers with 97% Testing Accuracy
## Project Overview
The "Animal Detection Using VIT Transformers with 97% Testing Accuracy" project is a focused and achievable initiative aimed at building an accurate animal detection system. Leveraging Vision Transformer (VIT) models, this project is dedicated to the specific goal of achieving a high testing accuracy of 97% in identifying and classifying 90 different animal species.
### Project Objectives
- **Testing Accuracy of 97%:** The central objective of this project is to train a VIT-based model to reach a remarkable testing accuracy of 97% in identifying 90 different animal species. This level of accuracy ensures the project's success and usability.
### Project Phases
1. **Data Collection and Preprocessing:** This phase involves collecting a dataset of images representing the 90 animal species and performing necessary data preprocessing tasks such as image augmentation and data cleaning.
2. **Model Selection and Training:** The project selects an appropriate VIT model and proceeds with training it on the prepared dataset. Fine-tuning is a crucial step to optimize the model's performance.
3. **Evaluation and Testing:** Rigorous evaluation and testing of the trained model are conducted to confirm the achievement of the 97% testing accuracy target. This step may involve validation against various animal species.
4. **Documentation and Reporting:** The project documents the process, methodologies, and results obtained, creating a detailed report that describes the steps taken to achieve the testing accuracy target.
## Expected Outcomes
The successful completion of this project will result in a highly accurate animal detection system. While it is a limited-scope project, it serves as a valuable demonstration of the capabilities of VIT transformers in solving specific computer vision tasks. The 97% testing accuracy achieved will provide a reliable foundation for future work and applications in fields like wildlife monitoring, educational tools, and hobbyist projects.
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