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Baseline/README.md

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+# PoseBowl Segmented Dataset
+![Dataset v2](https://img.shields.io/badge/dataset-v2-red)
+
+## Overview
+Dataset-v2 is a collection of segmented images intended for use in  segmentation task. This dataset is part of the NASA Segmentation F24 project.
+
+> **Note**: This dataset contains images from the `posebowl` dataset and the `spacecrafts` dataset.
+
+## Contents
+- **images**: Images of spacecrafts in space.
+- **masks**: Corresponding binary masks for each image as `.png` image. This subdirectory is saved separately from this directory.
+- **labels**: Corresponding polygon coordinates of the masks in YOLO format saved as `.txt` files
+  - In each `.txt` file, the polygon coordinates are in the format: `c x1 y1 x2 x3 ... xn yn`. 
+  - Here `c` corresponds to the class index followed by polygon coordinates of the mask.
+
+## Directory Structure
+```
+/data/dataset-v2/
+├── images/
+|   ├── train
+|   ├── test
+|   └── val 
+├── labels/
+|   ├── train
+|   ├── test
+|   └── val
+├── data.yaml
+└── README.md
+```
+
+## Usage
+1. Download and unzip the dataset to the `/data/` directory in your project:
+2. Edit the `path` feild in the `/data/dataset-v2/data.yaml` file and set it to the dataset's absolute path on your machine.
+
+## Links
+1. [Posebowl Dataset](https://www.kaggle.com/datasets/aparajuli/posebowl)
+2. [Spacecrafts Dataset](https://drive.google.com/drive/u/0/folders/1Q1wR9aBFCyeFEYa3wwyXNu9wk_fZdzUm)

Baseline/data.yaml

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+# Train, val, test sets and data directory
+path: "<absolute path to the dataset>" # dataset root dir
+train: images/train # train dir
+val: images/val # val dir
+test: images/test # test dir
+
+# Classes
+names:
+    0: spacecraft