File size: 1,416 Bytes
4fc4c09 5cfa624 4fc4c09 5cfa624 2fa6666 4fc4c09 b942f1a 2fa6666 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
# Deep Learning 2025 Dataset
## Overview
The **Deep_Learning_2025_Dataset** is a dataset designed for deep learning finel project involving microrobot pose and depth estimation.
## Directory Structure
The dataset is organized into subfolders located under the root directory:
```
/Deep_Learning_2025_Dataset/
├── P10_R0/
│ ├── image_001.jpg
│ ├── image_002.jpg
│ ├── …
│ └── P10_R0-depth.txt
├── P15_R15/
│ ├── image_001.jpg
│ ├── …
│ └── P15_R15-depth.txt
└── …
```
Each subfolder corresponds to a specific **Robot Pose**, defined by two angles:
- `P{pitch}_R{roll}`
- `Pitch`: The vertical tilt angle in degrees
- `Roll`: The horizontal rotation angle in degrees
For example:
- `P10_R0/` means pitch = 10°, roll = 0°
- `P15_R15/` means pitch = 15°, roll = 15°
## Contents of Each Pose Folder
Each folder contains:
- Multiple **RGB images** captured at the specified pose (e.g., `image_001.jpg`, `image_002.jpg`, etc.)
- A **depth annotation text file** named `{pose}-depth.txt`, e.g., `P10_R0-depth.txt`
### Depth File Format
The depth text file contains the depth values corresponding to the images in that folder. Each line in the file represents the depth value for the corresponding image in the same order.
Example (`P10_R0-depth.txt`):
('video_14_stable_bot_l6s3_P10_R0_00255.jpg', 0.893) |