Code and data supporting the paper “Pushing the Boundary of Event Subsampling in Event-Based Video Classification Using CNNs”
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This repository contains the code, resources, and FAN1VS3 dataset related to the paper: H. Araghi, J. van Gemert, and N. Tomen, "Pushing the Boundary of Event Subsampling in Event-Based Video Classification Using CNNs," in ECCV Workshop, 2024. # FAN1VS3 — an event-camera dataset of a fan at two rotation speeds FAN1VS3 is a small, two-class event-camera classification dataset. A desk fanwas recorded with a Prophesee Gen4.2 event camera at two of its rotation-speedsettings (`speed_1` and `speed_3`), and the two continuous recordings were cutinto short clips. The task is to decide, from a single clipof raw events, which speed setting the fan was running at. ## Download The dataset ships as a single ZIP archive, `FAN1VS3.zip`. After downloading, check it against `SHA256SUMS`: ```bashsha256sum -c SHA256SUMS # Linux / macOS``````powershellGet-FileHash FAN1VS3.zip -Algorithm SHA256 # Windows PowerShell``` ## Layout ```FAN1VS3/├── README.md├── LICENSE CC BY 4.0├── segmented/ ← the dataset proper│ ├── speed_1/speed_1_0000.hdf5 … speed_1_0234.hdf5 (235 clips)│ └── speed_3/speed_3_0000.hdf5 … speed_3_0274.hdf5 (275 clips)├── full_recordings/ ← optional, for your own segmentation│ ├── …
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