Update README.md

README.md

@@ -5,4 +5,61 @@ tags:
 - waste
 - classification
 pretty_name: waste-cl
----
+---
+
+# Dataset Card for waste classifier 
+
+This dataset contains waste images in different categories:
+- cardboard
+- compost
+- glass
+- metal
+- paper
+- plastic
+- trash
+
+
+### Dataset Description
+- **Curated by:** Rootstrap
+- **License:** MIT
+
+### Dataset Sources 
+Data is a combination of [Trashnet](https://github.com/garythung/trashnet) dataset plus more images obtained by internet search. 
+Paper: [Classification of Trash for Recyclability Status](https://cs229.stanford.edu/proj2016/report/ThungYang-ClassificationOfTrashForRecyclabilityStatus-report.pdf)
+
+## Uses
+The dataset can be used for waste classification or other type of project. 
+
+### Direct Use
+This dataset is used to build a waste classifier for categorizing different types of waste, being able to correctly throw the trash in the corresponding trash can at our office.
+
+{{ direct_use | default("[More Information Needed]", true)}}
+
+## Dataset Structure
+The data is already split in train and test folders. 
+Inside each folder contains one folder for each class. 
+
+## Dataset Creation
+
+### Curation Rationale
+
+at Rootstrap, our Machine Learning Engineers are committed to creating awareness of correct waste classification to help the environment. 
+Their determination to make an impact led to the creation of 'RootTrash', an internal AI-powered app to help us recycle correctly.
+
+
+#### Data Collection and Processing
+Some of the images were obtained using Bing searcher using the api HTTP. 
+You can find the code used to download the images at this [Google Colab](https://colab.research.google.com/drive/1JvAYFx1DIEi1MMyI-tuCfE2eHMSKisKT?usp=sharing). 
+
+#### Who are the source data producers?
+Thung, G., & Yang, M. (2016). Classification of Trash for Recyclability Status.
+
+
+
+## Bias, Risks, and Limitations
+Current model has been trained mostly with internet images and most of them has white background. This might be an issue when testing with real images.
+In the future, the dataset will be extended with the photos taken through the app. 
+
+### Recommendations
+Integrate this model with a detection model such as [rootstrap-org/waste-detector](https://huggingface.co/rootstrap-org/waste-detector)
+