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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