Datasets:
File size: 2,416 Bytes
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license: mit
task_categories:
- image-to-text
tags:
- gps
- geolocation
- computer-vision
- regression
- campus
pretty_name: Image2GPS Penn Campus
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data_car/01_Split_Dataset/train-*
- split: validation
path: data_car/01_Split_Dataset/validation-*
- split: test
path: data_car/01_Split_Dataset/test-*
dataset_info:
features:
- name: image
dtype: image
- name: Latitude
dtype: float64
- name: Longitude
dtype: float64
splits:
- name: train
num_bytes: 1879686949
num_examples: 525
- name: validation
num_bytes: 106413976
num_examples: 29
- name: test
num_bytes: 106913215
num_examples: 30
download_size: 2093075615
dataset_size: 2093014140
---
# 🗺️ Image2GPS — Penn Campus Dataset
Geotagged image dataset for predicting GPS coordinates from photos taken on the University of Pennsylvania campus.
## 📋 Overview
| | Detail |
|---|---|
| 🎯 **Task** | Image → GPS regression (latitude, longitude) |
| 📍 **Region** | Penn campus: 33rd & Walnut → 34th & Spruce |
| 📷 **Sources** | Human-height (\~1.5m) & car-height (\~0.15m) |
| 📊 **Metric** | Average Haversine distance (meters) ↓ |
## 📁 Structure
```
data_human/
└── 01_Split_Dataset/
├── train/ # ~1595 images + metadata.csv
├── validation/ # ~199 images + metadata.csv
└── test/ # ~200 images + metadata.csv
data_car/ # Car-height images (exploratory)
```
Each `metadata.csv` contains:
| Column | Description |
|--------|-------------|
| `file_name` | Image filename |
| `Latitude` | GPS latitude in decimal degrees |
| `Longitude` | GPS longitude in decimal degrees |
## 🚀 Quick Start
```python
from datasets import load_dataset
# Load human-height data
dataset = load_dataset("Wu52F/Image2GPS_dataset", data_dir="data_human/01_Split_Dataset")
train = dataset["train"]
print(train[0]) # {'image': <PIL>, 'Latitude': 39.952, 'Longitude': -75.193}
```
## 📷 Collection Protocol
- Photos taken along walkways on Penn campus
- 8 photos per location (rotating 360°)
- Phone held upright, no zoom
- GPS extracted from EXIF metadata
- HEIC images converted to JPEG with EXIF preserved
## 👥 Team
CIS 5190 Applied Machine Learning — Spring 2026
Team 15: Tao Wu, Yuchen Xu
|