Town Square Activity Detection Dataset
Authors/Creators
-
1.
Universitat de València
Description
Dataset Description
This repository contains a dataset of object detection and instance segmentation events recorded over a 538-day period, from October 26, 2023 to April 16, 2025. The dataset comprises individual records, capturing temporal, spatial, and classification data for objects identified in an open access video broadcast from the town of Sant Mateu, Spain.
Dataset Structure
The repository contains a series of CSV files [*] (e.g., detections_01.csv, detections_02.csv, etc.).
These files collectively serve as the primary dataset. They are partitioned for ease of handling but share an identical schema. Each record encapsulates granular detection events, including the temporal timestamp, categorical class ID, model confidence metric, and spatial geometry. Comprehensive details regarding the columns found in all files are provided in the section below.
[*] 2025-11-30, The files have been updated to correct structural problems.
Dataset Codebook
All CSV files in this repository follow the same 8-column structure:
| Column Name | Data Type | Description |
|---|---|---|
time |
String | Timestamp of the detection in YYYY-MM-DD HH:MM:SSformat. |
class_id |
Integer | Integer representing the object category based on the COCO dataset. Detected classes include: Class 0 (person), Class 1 (bicycle), Class 2 (car), Class 3 (motorcycle), Class 5 (bus), and Class 7 (truck). |
confidence |
Float | Model certainty score (0.0 - 1.0). |
xmin |
Float | X-coordinate of the bounding box's top-left corner (pixels). |
ymin |
Float | Y-coordinate of the bounding box's top-left corner (pixels). |
xmax |
Float | X-coordinate of the bounding box's bottom-right corner (pixels). |
ymax |
Float | Y-coordinate of the bounding box's bottom-right corner (pixels). |
segment_mask |
String | Contains a stringified list of [x, y] pixel coordinates that form a closed polygon around the detected object. |
Files
detections_01.csv
Files
(13.6 GB)
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Additional details
Funding
- Agencia Estatal de Investigación
- Grant PID2021-127946OB-I00 funded by MCIN/AEI/10.13039/501100011033 by “ERDF A way of making Europe”. PID2021-127946OB-I00