--- dataset_info: features: - name: video dtype: string - name: row_id dtype: int64 - name: action_score dtype: float64 - name: peaks list: - name: build_up dtype: float64 - name: caption dtype: string - name: drop_off dtype: float64 - name: peak_end dtype: float64 - name: peak_start dtype: float64 splits: - name: train num_bytes: 192697.0 num_examples: 1028 download_size: 108343 dataset_size: 192697.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

⚡ FLASH

Fast Labelled Action Segment Highlights

Github
## Overview FLASH is an open-source video evaluation dataset that tests a model's ability to identify the peak frames in a video given a user's prompt, for example, "The moment when the person lands on the ground". This is a much more challenging task than standard temporal action localization. ## Analysis We compare our dataset to the THUMOS'14 temporal action localization evaluation dataset. Our results are as follows:
``` +----------------------------------------------------+ | Statistics for Peak Duration | +-----------+---------|--------+----------+-------+-------+-------+--------| | dataset | count | mean | median | q25 | q75 | min | max | |-----------+---------+--------+----------+-------+-------+-------+--------| | FLASH | 1526 | 0.18 | 0.10 | 0.03 | 0.19 | 0.00 | 4.67 | | THUMOS'14 | 3007 | 4.04 | 2.90 | 1.50 | 5.50 | 0.20 | 118.10 | +-----------+---------+--------+----------+-------+-------+-------+--------+ ``` ## Acknowledgements This dataset is heavily built on the [ActivityNet Captions](https://cs.stanford.edu/people/ranjaykrishna/densevid/) dataset.