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metadata
license: other
license_name: xentim-sample-evaluation
license_link: https://xentim.com/datasets/violence-detection/licence.txt
pretty_name: Violence Detection Dataset Sample
task_categories:
- video-classification
tags:
- violence-detection
- fight-detection
- keypoints
- skeleton
- action-recognition
- synthetic
- cctv
- computer-vision
size_categories:
- n<1K
extra_gated_heading: Get the free Violence Detection Dataset sample
extra_gated_prompt: >-
This sample is for internal evaluation only. See LICENSE.txt. Your details go
to Xentim (TATO STUDIO sp. z o.o.), so we can reply about your evaluation.
Privacy policy https://xentim.com/en/privacy-policy
extra_gated_button_content: Get the sample
extra_gated_fields:
Company or institution: text
Work email: text
Role: text
What will you test it on?: text
I agree to use this sample for internal evaluation only: checkbox
Violence Detection Dataset v1.1: free sample
Free evaluation sample of a synthetic dataset for skeleton-based fight and violence detection in CCTV.
Synthetic data: no real people and no personal data.
What is in this sample
- 288 sequences from 24 simulated events
data/frames.parquet: one row per frame and cameradata/index.csv: one row per sequencedata/skeleton3d/: 3D skeletonspreview_videos/: short skeleton previews00_OVERVIEW_*.mp4: overview of the sampleDATASHEET.md: full specification and known limits
This is skeleton data, with no RGB video.
Load it
import pandas as pd
index = pd.read_csv("data/index.csv")
frames = pd.read_parquet("data/frames.parquet")
print(index.head())
Full dataset
12,396 sequences, 3.17 million labelled frames, 2 to 6 people per event, 12 virtual cameras per event, multi-person keypoints, roles, actions, phases and contact events, 10 fight classes and 10 hard negative classes.
Commercial licence, from 3,000 EUR: Violence Detection Dataset
Licence
Free for internal evaluation only, see LICENSE.txt. Using it in a product needs a paid licence.
Questions or custom data: contact@xentim.com
