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1. Dataset.zip (7.86 GB)
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2. Source_Images.zip (356.23 MB)
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3. Test.mp4 (127.85 MB)
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4. Custom-Trained YOLOv8n.pt (6.52 MB)
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HRB-WD: Hyakken River Basin Waste Object Detection Dataset using YOLO V8

Version 2 2024-06-03, 11:12
Version 1 2024-06-01, 03:51
dataset
posted on 2024-06-03, 11:12 authored by Shijun PAN

This is a novel Japanese riparian waste-related on-site dataset collected by the smartphone.


Content:


1. Dataset.zip

Train/Valid folders that include images and labels, which were derived from the 2. Source_Images.zip. (Including: 1. Data Collection from Smartphone Devices,2. Annotation via Roboflow's Smart Polygon Function Anotation and Data argumentation, and 3. Data Augmentation)


2. Source_Images.zip

Several images were collected by the smartphone on the study site.


3. Test.mp4

A video for testing the custom-trained and pre-trained models.


4. Customed-Trained YOLOv8n.pt

This is a YOLOv8n model that was trained using 1. Dataset.zip

History

Corresponding author email address

p4b36znn@s.okayama-u.ac.jp

Copyright

© 2024 Japan Society of Civil Engineers

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