REAL-V-TSFM is a novel time series dataset derived entirely from real-world video data using optical flow methods. It was created to evaluate the generalization capabilities of Time Series Foundation Models (TSFMs) on realistic temporal dynamics, bridging the gap between synthetic benchmarks and real data.
Extraction Method: Uses the Lucas-Kanade optical flow algorithm to track pixel trajectories at detected keypoints in… See the full description on the dataset page:
https://huggingface.co/datasets/Volavion/real-v-tsfm.
