Update README.md

README.md

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+# Dataset Card for Quick, Draw! Dataset
+
+This dataset card aims to provide comprehensive information about the Quick, Draw! dataset, a collection of hand-drawn sketches used for training and evaluating sketch classification models.
+
+## Dataset Details
+
+### Dataset Description
+
+The Quick, Draw! dataset is a large-scale collection of hand-drawn sketches curated by Google Creative Lab. The dataset includes over 50 million unique sketches across 345 object categories, contributed by participants from around the world. The primary purpose of this dataset is to facilitate research in the field of computer vision, particularly for tasks related to sketch recognition and classification.
+
+- **Curated by:** Google Creative Lab
+- **Shared by [optional]:** Google
+
+### Dataset Sources
+
+- **Source:** [Quick, Draw! Dataset Source](https://github.com/googlecreativelab/quickdraw-dataset)
+- **Paper:** [A Neural Representation of Sketch Drawings](https://arxiv.org/abs/1704.03477)
+
+## Uses
+
+### Direct Use
+
+The dataset is intended for use in developing and evaluating sketch recognition algorithms. It is suitable for tasks such as:
+
+- Training sketch classification models
+- Evaluating the performance of sketch recognition systems
+- Conducting research in computer vision and machine learning related to hand-drawn images
+
+### Out-of-Scope Use
+
+The dataset is not suitable for use cases that require high-resolution images or photographs. It is also not intended for tasks unrelated to sketch recognition, such as natural image classification.
+
+## Original Dataset Structure
+
+The dataset is organized into categories, each containing a collection of hand-drawn sketches. Each sketch is a black-and-white image representing an object from one of the predefined categories.
+
+- **Number of Categories:** 345
+- **Number of Sketches:** 50 million
+
+### Dataset Splits
+
+In this dataset, the Quick, Draw! dataset is provided as a single training set without predefined splits for training, validation, or testing. Due to the large size of the original dataset, I randomly selected 100 samples per category to train within limited resources, resulting in a total of 34,500 sketches.
+
+- **Train Set:**
+  - **Number of Examples:** 34,500
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+@article{ha2017neural,
+  title={A Neural Representation of Sketch Drawings},
+  author={Ha, David and Eck, Douglas},
+  journal={arXiv preprint arXiv:1704.03477},
+  year={2017}
+}