Update README.md

README.md

@@ -1,3 +1,61 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- object-detection
+- image-segmentation
+- image-classification
+---
+## Pascal VOC 
+#### Dataset Summary
+The Pascal Visual Object Classes (VOC) dataset is a widely used benchmark in the field of computer vision. It is designed for object detection, image classification, semantic segmentation, and action classification tasks. The dataset provides a comprehensive set of annotated images covering 20 object classes, allowing researchers to evaluate and compare the performance of various algorithms.
+**Note**: This dataset repository contains all editions of PASCAL-VOC, each file is identified with the year. 
+
+#### Dataset Structure
+**Images:** The dataset contains 178k images.
+**Annotations:** Annotations include object bounding boxes, object class labels, segmentation masks, and action labels.
+**Classes:** 20 object classes: person, bicycle, car, motorbike, aeroplane, bus, train, boat, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, and potted plant.
+**Supported Tasks**
+**Image Classification:** Assigning a label to an image from a fixed set of categories.
+**Object Detection:** Identifying objects within an image and drawing bounding boxes around them.
+**Semantic Segmentation:** Assigning a class label to each pixel in the image.
+**Action Classification:** Identifying the action being performed in the image.
+
+#### Applications
+The Pascal VOC dataset is used for:
+
+- Benchmarking and evaluating computer vision algorithms.
+- Training models for image classification, object detection, and segmentation tasks.
+
+#### Data Collection and Annotation
+
+**Data Sources**
+The images were collected from Flickr and other sources, ensuring a diverse and representative sample of real-world scenes.
+
+A**nnotation Process**
+Annotations were carried out by a team of human annotators. Each image is labeled with:
+
+- Bounding boxes for object detection.
+- Class labels for each object.
+- Pixel-wise segmentation masks for semantic segmentation.
+- Action labels indicating the action performed by the objects in the image.
+
+#### License
+The Pascal VOC dataset is released under the Creative Commons Attribution 2.5 License. Users are free to share, adapt, and use the dataset, provided appropriate credit is given.
+
+#### Citation
+If you use the Pascal VOC dataset in your research, please cite the following paper:
+
+```
+@article{Everingham10,
+  author    = {Mark Everingham and
+               Luc Gool and
+               Christopher K. I. Williams and
+               John Winn and
+               Andrew Zisserman},
+  title     = {The Pascal Visual Object Classes (VOC) Challenge},
+  journal   = {International Journal of Computer Vision},
+  volume    = {88},
+  number    = {2},
+  year      = {2010},
+  pages     = {303-338},
+}