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README.md
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# Context
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This classification model aims to identify items and categorize them based on how they should be disposed of. Using YOLOv11, this model fine-tunes previously trained datasets from Roboflow to fit new classes: recycle, trash, compost, and specialized disposal. This model is intented to be used to help people correctly dispose of their items and can be used for smart bins, which detected the item a person is holding and opens to the appropriate bin or for apps where the user can take a photo of the item and identify where it goes and how to dispose of it
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# Training Data
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1. Classifcation waste Computer Vision Model by GKHANG
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**Classes**: 10
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**Link**: https://universe.roboflow.com/gkhang/classification-waste
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**Classes**: 48
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**Link**: https://universe.roboflow.com/baile/trash-izcuy
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## Class Distribution
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|Class | Count |
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|-----------------------|------:|
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|Recycle | 1,607 |
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|Specialized Disposal | 1,026 |
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## Annotation Process
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## Train/Valid/Test Split
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- **Train**: 3,421 images (64%)
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- **Valid**: 1,145 images (21%)
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- **Test**: 791 images (15%)
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## Augmentations
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- None
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# Training Procedure
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- **Framework**: Ultralytics
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- **Hardware**: NVIDIA A100-SXM4-80GB
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- _Early Stopping_: 38 epochs
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# Evaluation Results
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# Limitations and Biases
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# Context
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This classification model aims to identify items and categorize them based on how they should be disposed of. Using YOLOv11, this model fine-tunes previously trained datasets from Roboflow to fit new classes: recycle, trash, compost, and specialized disposal. This model is intented to be used to help people correctly dispose of their items and can be used for smart bins, which detected the item a person is holding and opens to the appropriate bin or for apps where the user can take a photo of the item and identify where it goes and how to dispose of it
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---
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# Training Data
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#### Datasets
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1. Classifcation waste Computer Vision Model by GKHANG
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**Classes**: 10
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**Link**: https://universe.roboflow.com/gkhang/classification-waste
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2. Trash Computer Vision Dataset by BAILE
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**Classes**: 48
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**Link**: https://universe.roboflow.com/baile/trash-izcuy
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#### Class Distribution
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|Class | Count |
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|-----------------------|------:|
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|Recycle | 1,607 |
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|Specialized Disposal | 1,026 |
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#### Annotation Process*
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#### Train/Valid/Test Split
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- **Train**: 3,421 images (64%)
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- **Valid**: 1,145 images (21%)
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- **Test**: 791 images (15%)
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#### Augmentations
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- None
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---
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# Training Procedure
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- **Framework**: Ultralytics
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- **Hardware**: NVIDIA A100-SXM4-80GB
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- _Early Stopping_: 38 epochs
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---
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# Evaluation Results
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---
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# Limitations and Biases
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