Update README.md

README.md

@@ -6,113 +6,15 @@ license:
 multilinguality:
 - monolingual
 size_categories:
-- 1K<n<10K
+- 100K<n<1M
 source_datasets:
 - original
 task_categories:
 - object-detection
 ---
 
-# Dataset Card for [Dataset Name]
+# Dataset Card for NYU AI INET ASSIGNMENT 3
 
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
+## Dataset Summary
 
-## Dataset Description
-
-### Dataset Summary
-
-Provide a summary of the dataset, what the data represents, where it comes from, and what it can be used for.
-
-### Supported Tasks and Leaderboards
-
-Discuss any tasks for which this dataset is suitable and any existing leaderboards.
-
-### Languages
-
-The language of the dataset and any language-specific considerations.
-
-## Dataset Structure
-
-### Data Instances
-
-A description of a typical data instance and its components.
-
-### Data Fields
-
-A description of each field in the dataset, including the data type and any relevant information.
-
-### Data Splits
-
-If the dataset contains multiple splits (training, validation, test), provide information about each of them.
-
-## Dataset Creation
-
-### Curation Rationale
-
-Explain the rationale behind the creation and curation of the dataset.
-
-### Source Data
-
-Provide information about the source of the data.
-
-### Annotations
-
-Describe the annotation process and the quality of the annotations.
-
-### Personal and Sensitive Information
-
-Identify any personal or sensitive information in the dataset, and describe measures taken to ensure privacy and consent.
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-Discuss any potential social or ethical implications of the dataset.
-
-### Discussion of Biases
-
-Acknowledge any biases present in the dataset.
-
-### Other Known Limitations
-
-Discuss any other limitations of the dataset (e.g., potential for misuse, lack of representativeness).
-
-## Additional Information
-
-### Dataset Curators
-
-List the individuals or organizations who curated the dataset.
-
-### Licensing Information
-
-Provide licensing information, or a link to a license file.
-
-### Citation Information
-
-Provide a suggested citation for the dataset.
-
-### Contributions
-
-Credits to those who contributed to the dataset.
+youtube video frames for experimentation for AI INET Assignmnet 3