Datasets:

hasannyr
/

asd123

@@ -1,133 +0,0 @@
----
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: label
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 860702888.24
-    num_examples: 2030
-  - name: val
-    num_bytes: 112788665.0
-    num_examples: 255
-  - name: test
-    num_bytes: 109085193.0
-    num_examples: 249
-  download_size: 1113718666
-  dataset_size: 1082576746.24
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
----
-# Dataset Card for [Dataset Name]
-<!-- Provide a quick summary of the dataset. -->
-This dataset consists of images and their corresponding labels, divided into three splits: train, validation (val), and test. It is designed for tasks involving image classification.
-## Dataset Details
-### Dataset Description
-<!-- Provide a longer summary of what this dataset is. -->
-This dataset contains high-quality labeled image data structured as follows:
-- **Train Split:** Contains images and labels for model training.
-- **Validation Split:** Contains images and labels for model validation during development.
-- **Test Split:** Contains images and labels for final evaluation.
-Each split includes:
-- **Images:** Input image data in PNG format.
-- **Labels:** Corresponding labels or annotations for the images in PNG format.
-- **Curated by:** [Add details about the creator]
-- **Funded by [optional]:** [Add funding details if applicable]
-- **Shared by [optional]:** [Add sharing details if applicable]
-- **License:** [Specify license, e.g., CC-BY-SA 4.0]
-### Dataset Sources [optional]
-<!-- Provide the basic links for the dataset. -->
-- **Paper [optional]:** [Provide link to related paper, if any]
-### Direct Use
-<!-- This section describes suitable use cases for the dataset. -->
-This dataset can be used for:
-- Deep learning model training and evaluation
-## Dataset Structure
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-The dataset is structured as follows:
-```
-/dataset_root
-|-- train/
-|   |-- images/
-|   |   |-- image_1.png
-|   |   |-- image_2.png
-|   |-- labels/
-|       |-- label_1.png
-|       |-- label_2.png
-|-- val/
-|   |-- images/
-|   |-- labels/
-|-- test/
-    |-- images/
-    |-- labels/
-```
-### Fields:
-- **images/**: Folder containing input images in PNG format.
-- **labels/**: Folder containing labels for the images in PNG format.
-## Dataset Creation
-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-Images were collected from [source] and labeled using [tool/method]. Data normalization and resizing were performed to standardize input dimensions.
-#### Who are the source data producers?
-<!-- This section describes the people or systems who originally created the data. -->
-The images were sourced from [platform/community/dataset] and annotated by [annotator team/automated process].
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users should review dataset samples to assess its suitability for their specific application.
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[Provide BibTeX citation]
-**APA:**
-[Provide APA citation]