Illegal Waste Dumping Detection (IWDD) contest Call for Papers

=== Call for submissions ===
IWDD Contest 2026
International Workshop on Smart Waste Monitoring (WasteVision) 2026
The IEEE/CVF Winter Conference on Applications of Computer Vision 2026
Friday, March 6 - Tuesday, March 10, 2026 - Tucson, Arizona (USA)
Workshop Website: https://mivia.unisa.it/wastevision2026/
Contest Website: https://mivia.unisa.it/iwddcontest2026/
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=== Important dates ===
Method Submission Deadline: 10th December, 2025
Contest Paper Deadline: 15th December, 2025
Decision notification: December 23rd, 2025
Camera-ready: January 9th, 2026 (11:59 PM, PT)
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=== Contest ===
The Illegal Waste Dumping Detection (IWDD) contest is an international
competition organized to encourage participants to develop advanced
methods for real-time illegal waste dumping detection in videos
captured by fixed CCTV cameras, runnable on smart cameras or embedded
systems. Illegal dumping poses a major global issue, burdening cities
with cleanup costs, harming ecosystems, and threatening public
health. Variations in human behavior, waste types, and environmental
factors reduce the effectiveness of conventional models. Limited
availability of comprehensive, well-annotated video datasets. Most
existing work relies on private datasets, hindering progress toward
intelligent surveillance systems. We provide the participants with the
MIVIA-IWDD dataset, which is a comprehensive collection of video clips
specifically designed to train and evaluate action recognition models
for detecting illegal waste disposal events. The dataset is completely
balanced to ensure unbiased model training and robust evaluation. The
dataset is perfectly balanced with equal representation: 200 positive
samples (100 static + 100 dynamic) and 200 negative samples, ensuring
unbiased training and fair evaluation metrics. Each positive video
includes precise timestamp annotations marking the exact moment when
illegal dumping occurs, enabling fine-grained temporal action
localization and early detection training. The private test set
includes both positive samples (videos containing illegal waste
dumping events) and negative samples (videos with no dumping
activity). The contest winner will be determined based on the highest
F1-Score achieved on the test set, as it provides the most balanced
evaluation of detection accuracy combining both precision and recall
performance. However, to emphasize the applicability of these methods
in real-time scenarios, we also compute additional metrics. To find
the model with the best performance and the most efficient solution
for real-time systems, we consider measures that evaluate both
detection speed and computational efficiency. These metrics help
identify methods that can operate effectively in resource-constrained
surveillance environments while maintaining high detection
accuracy. The detailed description can be read
here: https://mivia.unisa.it/iwddcontest2026/
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=== Rules ===
- The deadline for the submission of the methods is 10th December,
2025. The submission must be done with an email in which the
participants share (directly or with external links) the trained
model, the code and the report.

- The participants can receive the training set and its annotations by
sending an email to iwdd2026contest@gmail.com, in which they also
communicate the name of the team.

- The participants can use these training samples and annotations for
training and validating their methods, but they are also encouraged to
use other external data for improving the performance of their models.

- The participants must submit their trained model and their
evaluation code.

- The participants are strongly encouraged to submit a contest paper
to WASTEVISION 2026, whose deadline is 15th December, 2025. To
properly format their papers, authors must use the official WACV 2026
Author Kit Template, which contains all necessary LaTeX files, style
sheets, and formatting guidelines required for submission. Authors can
find complete instructions of how to format their papers in the
workshop website https://mivia.unisa.it/wastevision2026/. Accepted
papers will be included in the WACV 2026 Workshops Proceedings.

The detailed instructions can be read here: 
https://mivia.unisa.it/iwddcontest2026/
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Best regards,
The organizers