FujiView
Accepted to WACV 2026

FujiView

FujiView is a multimodal computer vision framework for Mount Fuji visibility estimation, combining webcam imagery with aligned meteorological data. Our WACV 2026 paper studies human-labeled five-class visibility prediction using visual models, weather features, and late-fusion learning; the public web app and dataset are coming soon.

Read the Paper

Paper link available now • Web app + dataset release in progress

Methods at a Glance

A compact WACV-style overview

FujiView pairs computer vision with structured weather signals to model Mount Fuji visibility as a multimodal classification task.

Data collection

We collect images from 42 webcam viewpoints around Mount Fuji at 30-minute intervals and align them with timestamped meteorological observations and forecasts.

Human-labeled visibility

Each image is manually labeled into five visibility categories: Perfect, Clear, Cloudy, Obscured, and Bad, creating supervision tailored to real scenic visibility rather than generic weather tags.

Multimodal modeling

Our pipeline compares image-based signals from YOLOv8 and MAE-style representations, then combines visual outputs with weather features in a late-fusion classifier.

Evaluation

We study the contribution of each modality through ablations and hyperparameter sweeps, targeting strong nowcasting performance while laying groundwork for short-term forecasting.

Dataset Scale

Current scale and release target

FujiView is being built as a large-scale scenic visibility benchmark, with both current collection statistics and projected release scale.

42

live webcams in the collection pipeline

113,000+

images collected so far

~26,000

manually labeled image-weather samples

300k+

forecast-aligned images from 40+ webcams in the released benchmark

Projected to exceed 320,000 total images during collection

The current paper reports over 113,000 collected images and approximately 26,000 manual labels, while the poster frames the broader public benchmark target as 300k+ forecast-aligned images from 40+ webcams.

Coming Soon

What’s next for FujiView

We’re preparing a public release of the FujiView experience and resources for researchers, developers, and weather / vision enthusiasts.

  • A public human-labeled dataset for Mount Fuji visibility

  • A web app for exploring visibility predictions and conditions

  • Foundations for broader environmental forecasting and vision tasks