Datasets:
metadata
license: cc-by-nc-4.0
task_categories:
- video-classification
language:
- en
tags:
- medical
- fall-detection
- activity-recognition
- synthetic
pretty_name: 'OmniFall: A Unified Benchmark for Staged-to-Wild Fall Detection'
size_categories:
- 10K<n<100K
configs:
- config_name: labels
data_files:
- split: train
path: parquet/labels/train-*.parquet
default: true
- config_name: labels-syn
data_files:
- split: train
path: parquet/labels-syn/train-*.parquet
- config_name: metadata-syn
data_files:
- split: train
path: parquet/metadata-syn/train-*.parquet
- config_name: framewise-syn
data_files:
- split: train
path: parquet/framewise-syn/train-*.parquet
- config_name: of-sta-cs
data_files:
- split: train
path: parquet/of-sta-cs/train-*.parquet
- split: validation
path: parquet/of-sta-cs/validation-*.parquet
- split: test
path: parquet/of-sta-cs/test-*.parquet
- config_name: of-sta-cv
data_files:
- split: train
path: parquet/of-sta-cv/train-*.parquet
- split: validation
path: parquet/of-sta-cv/validation-*.parquet
- split: test
path: parquet/of-sta-cv/test-*.parquet
- config_name: of-itw
data_files:
- split: train
path: parquet/of-itw/train-*.parquet
- split: validation
path: parquet/of-itw/validation-*.parquet
- split: test
path: parquet/of-itw/test-*.parquet
- config_name: of-syn
data_files:
- split: train
path: parquet/of-syn/train-*.parquet
- split: validation
path: parquet/of-syn/validation-*.parquet
- split: test
path: parquet/of-syn/test-*.parquet
- config_name: of-syn-cross-age
data_files:
- split: train
path: parquet/of-syn-cross-age/train-*.parquet
- split: validation
path: parquet/of-syn-cross-age/validation-*.parquet
- split: test
path: parquet/of-syn-cross-age/test-*.parquet
- config_name: of-syn-cross-ethnicity
data_files:
- split: train
path: parquet/of-syn-cross-ethnicity/train-*.parquet
- split: validation
path: parquet/of-syn-cross-ethnicity/validation-*.parquet
- split: test
path: parquet/of-syn-cross-ethnicity/test-*.parquet
- config_name: of-syn-cross-bmi
data_files:
- split: train
path: parquet/of-syn-cross-bmi/train-*.parquet
- split: validation
path: parquet/of-syn-cross-bmi/validation-*.parquet
- split: test
path: parquet/of-syn-cross-bmi/test-*.parquet
- config_name: caucafall-to-all-cs
data_files:
- split: train
path: parquet/caucafall-to-all-cs/train-*.parquet
- split: validation
path: parquet/caucafall-to-all-cs/validation-*.parquet
- split: test
path: parquet/caucafall-to-all-cs/test-*.parquet
- config_name: caucafall-to-all-cv
data_files:
- split: train
path: parquet/caucafall-to-all-cv/train-*.parquet
- split: test
path: parquet/caucafall-to-all-cv/test-*.parquet
- config_name: cmdfall-to-all-cs
data_files:
- split: train
path: parquet/cmdfall-to-all-cs/train-*.parquet
- split: validation
path: parquet/cmdfall-to-all-cs/validation-*.parquet
- split: test
path: parquet/cmdfall-to-all-cs/test-*.parquet
- config_name: cmdfall-to-all-cv
data_files:
- split: train
path: parquet/cmdfall-to-all-cv/train-*.parquet
- split: validation
path: parquet/cmdfall-to-all-cv/validation-*.parquet
- split: test
path: parquet/cmdfall-to-all-cv/test-*.parquet
- config_name: edf-to-all-cs
data_files:
- split: train
path: parquet/edf-to-all-cs/train-*.parquet
- split: validation
path: parquet/edf-to-all-cs/validation-*.parquet
- split: test
path: parquet/edf-to-all-cs/test-*.parquet
- config_name: edf-to-all-cv
data_files:
- split: train
path: parquet/edf-to-all-cv/train-*.parquet
- split: validation
path: parquet/edf-to-all-cv/validation-*.parquet
- split: test
path: parquet/edf-to-all-cv/test-*.parquet
- config_name: gmdcsa24-to-all-cs
data_files:
- split: train
path: parquet/gmdcsa24-to-all-cs/train-*.parquet
- split: validation
path: parquet/gmdcsa24-to-all-cs/validation-*.parquet
- split: test
path: parquet/gmdcsa24-to-all-cs/test-*.parquet
- config_name: gmdcsa24-to-all-cv
data_files:
- split: train
path: parquet/gmdcsa24-to-all-cv/train-*.parquet
- split: validation
path: parquet/gmdcsa24-to-all-cv/validation-*.parquet
- split: test
path: parquet/gmdcsa24-to-all-cv/test-*.parquet
- config_name: le2i-to-all-cs
data_files:
- split: train
path: parquet/le2i-to-all-cs/train-*.parquet
- split: validation
path: parquet/le2i-to-all-cs/validation-*.parquet
- split: test
path: parquet/le2i-to-all-cs/test-*.parquet
- config_name: le2i-to-all-cv
data_files:
- split: train
path: parquet/le2i-to-all-cv/train-*.parquet
- split: validation
path: parquet/le2i-to-all-cv/validation-*.parquet
- split: test
path: parquet/le2i-to-all-cv/test-*.parquet
- config_name: mcfd-to-all-cs
data_files:
- split: train
path: parquet/mcfd-to-all-cs/train-*.parquet
- split: test
path: parquet/mcfd-to-all-cs/test-*.parquet
- config_name: mcfd-to-all-cv
data_files:
- split: train
path: parquet/mcfd-to-all-cv/train-*.parquet
- split: validation
path: parquet/mcfd-to-all-cv/validation-*.parquet
- split: test
path: parquet/mcfd-to-all-cv/test-*.parquet
- config_name: occu-to-all-cs
data_files:
- split: train
path: parquet/occu-to-all-cs/train-*.parquet
- split: validation
path: parquet/occu-to-all-cs/validation-*.parquet
- split: test
path: parquet/occu-to-all-cs/test-*.parquet
- config_name: occu-to-all-cv
data_files:
- split: train
path: parquet/occu-to-all-cv/train-*.parquet
- split: validation
path: parquet/occu-to-all-cv/validation-*.parquet
- split: test
path: parquet/occu-to-all-cv/test-*.parquet
- config_name: up_fall-to-all-cs
data_files:
- split: train
path: parquet/up_fall-to-all-cs/train-*.parquet
- split: validation
path: parquet/up_fall-to-all-cs/validation-*.parquet
- split: test
path: parquet/up_fall-to-all-cs/test-*.parquet
- config_name: up_fall-to-all-cv
data_files:
- split: train
path: parquet/up_fall-to-all-cv/train-*.parquet
- split: validation
path: parquet/up_fall-to-all-cv/validation-*.parquet
- split: test
path: parquet/up_fall-to-all-cv/test-*.parquet
- config_name: of-sta-to-all-cs
data_files:
- split: train
path: parquet/of-sta-to-all-cs/train-*.parquet
- split: validation
path: parquet/of-sta-to-all-cs/validation-*.parquet
- split: test
path: parquet/of-sta-to-all-cs/test-*.parquet
- config_name: of-sta-to-all-cv
data_files:
- split: train
path: parquet/of-sta-to-all-cv/train-*.parquet
- split: validation
path: parquet/of-sta-to-all-cv/validation-*.parquet
- split: test
path: parquet/of-sta-to-all-cv/test-*.parquet
- config_name: of-syn-to-all-cs
data_files:
- split: train
path: parquet/of-syn-to-all-cs/train-*.parquet
- split: validation
path: parquet/of-syn-to-all-cs/validation-*.parquet
- split: test
path: parquet/of-syn-to-all-cs/test-*.parquet
- config_name: of-syn-to-all-cv
data_files:
- split: train
path: parquet/of-syn-to-all-cv/train-*.parquet
- split: validation
path: parquet/of-syn-to-all-cv/validation-*.parquet
- split: test
path: parquet/of-syn-to-all-cv/test-*.parquet
- config_name: of-sta-syn-to-all-cs
data_files:
- split: train
path: parquet/of-sta-syn-to-all-cs/train-*.parquet
- split: validation
path: parquet/of-sta-syn-to-all-cs/validation-*.parquet
- split: test
path: parquet/of-sta-syn-to-all-cs/test-*.parquet
- config_name: of-sta-syn-to-all-cv
data_files:
- split: train
path: parquet/of-sta-syn-to-all-cv/train-*.parquet
- split: validation
path: parquet/of-sta-syn-to-all-cv/validation-*.parquet
- split: test
path: parquet/of-sta-syn-to-all-cv/test-*.parquet
- config_name: of-sta-to-itw-cs
data_files:
- split: train
path: parquet/of-sta-to-itw-cs/train-*.parquet
- split: validation
path: parquet/of-sta-to-itw-cs/validation-*.parquet
- split: test
path: parquet/of-sta-to-itw-cs/test-*.parquet
- config_name: of-sta-to-itw-cv
data_files:
- split: train
path: parquet/of-sta-to-itw-cv/train-*.parquet
- split: validation
path: parquet/of-sta-to-itw-cv/validation-*.parquet
- split: test
path: parquet/of-sta-to-itw-cv/test-*.parquet
- config_name: of-syn-to-itw
data_files:
- split: train
path: parquet/of-syn-to-itw/train-*.parquet
- split: validation
path: parquet/of-syn-to-itw/validation-*.parquet
- split: test
path: parquet/of-syn-to-itw/test-*.parquet
- config_name: of-sta-syn-to-itw-cs
data_files:
- split: train
path: parquet/of-sta-syn-to-itw-cs/train-*.parquet
- split: validation
path: parquet/of-sta-syn-to-itw-cs/validation-*.parquet
- split: test
path: parquet/of-sta-syn-to-itw-cs/test-*.parquet
- config_name: of-sta-syn-to-itw-cv
data_files:
- split: train
path: parquet/of-sta-syn-to-itw-cv/train-*.parquet
- split: validation
path: parquet/of-sta-syn-to-itw-cv/validation-*.parquet
- split: test
path: parquet/of-sta-syn-to-itw-cv/test-*.parquet
- config_name: of-sta-itw-cs
data_files:
- split: train
path: parquet/of-sta-itw-cs/train-*.parquet
- split: validation
path: parquet/of-sta-itw-cs/validation-*.parquet
- split: test
path: parquet/of-sta-itw-cs/test-*.parquet
- config_name: of-sta-itw-cv
data_files:
- split: train
path: parquet/of-sta-itw-cv/train-*.parquet
- split: validation
path: parquet/of-sta-itw-cv/validation-*.parquet
- split: test
path: parquet/of-sta-itw-cv/test-*.parquet
- config_name: of-syn-itw
data_files:
- split: train
path: parquet/of-syn-itw/train-*.parquet
- split: validation
path: parquet/of-syn-itw/validation-*.parquet
- split: test
path: parquet/of-syn-itw/test-*.parquet
- config_name: cs
data_files:
- split: train
path: parquet/cs/train-*.parquet
- split: validation
path: parquet/cs/validation-*.parquet
- split: test
path: parquet/cs/test-*.parquet
- config_name: cv
data_files:
- split: train
path: parquet/cv/train-*.parquet
- split: validation
path: parquet/cv/validation-*.parquet
- split: test
path: parquet/cv/test-*.parquet
- config_name: caucafall-cs
data_files:
- split: train
path: parquet/caucafall-cs/train-*.parquet
- split: validation
path: parquet/caucafall-cs/validation-*.parquet
- split: test
path: parquet/caucafall-cs/test-*.parquet
- config_name: caucafall-cv
data_files:
- split: train
path: parquet/caucafall-cv/train-*.parquet
- config_name: cmdfall-cs
data_files:
- split: train
path: parquet/cmdfall-cs/train-*.parquet
- split: validation
path: parquet/cmdfall-cs/validation-*.parquet
- split: test
path: parquet/cmdfall-cs/test-*.parquet
- config_name: cmdfall-cv
data_files:
- split: train
path: parquet/cmdfall-cv/train-*.parquet
- split: validation
path: parquet/cmdfall-cv/validation-*.parquet
- split: test
path: parquet/cmdfall-cv/test-*.parquet
- config_name: edf-cs
data_files:
- split: train
path: parquet/edf-cs/train-*.parquet
- split: validation
path: parquet/edf-cs/validation-*.parquet
- split: test
path: parquet/edf-cs/test-*.parquet
- config_name: edf-cv
data_files:
- split: train
path: parquet/edf-cv/train-*.parquet
- split: validation
path: parquet/edf-cv/validation-*.parquet
- split: test
path: parquet/edf-cv/test-*.parquet
- config_name: gmdcsa24-cs
data_files:
- split: train
path: parquet/gmdcsa24-cs/train-*.parquet
- split: validation
path: parquet/gmdcsa24-cs/validation-*.parquet
- split: test
path: parquet/gmdcsa24-cs/test-*.parquet
- config_name: gmdcsa24-cv
data_files:
- split: train
path: parquet/gmdcsa24-cv/train-*.parquet
- split: validation
path: parquet/gmdcsa24-cv/validation-*.parquet
- split: test
path: parquet/gmdcsa24-cv/test-*.parquet
- config_name: le2i-cs
data_files:
- split: train
path: parquet/le2i-cs/train-*.parquet
- split: validation
path: parquet/le2i-cs/validation-*.parquet
- split: test
path: parquet/le2i-cs/test-*.parquet
- config_name: le2i-cv
data_files:
- split: train
path: parquet/le2i-cv/train-*.parquet
- split: validation
path: parquet/le2i-cv/validation-*.parquet
- split: test
path: parquet/le2i-cv/test-*.parquet
- config_name: mcfd-cs
data_files:
- split: train
path: parquet/mcfd-cs/train-*.parquet
- config_name: mcfd-cv
data_files:
- split: train
path: parquet/mcfd-cv/train-*.parquet
- split: validation
path: parquet/mcfd-cv/validation-*.parquet
- split: test
path: parquet/mcfd-cv/test-*.parquet
- config_name: occu-cs
data_files:
- split: train
path: parquet/occu-cs/train-*.parquet
- split: validation
path: parquet/occu-cs/validation-*.parquet
- split: test
path: parquet/occu-cs/test-*.parquet
- config_name: occu-cv
data_files:
- split: train
path: parquet/occu-cv/train-*.parquet
- split: validation
path: parquet/occu-cv/validation-*.parquet
- split: test
path: parquet/occu-cv/test-*.parquet
- config_name: up_fall-cs
data_files:
- split: train
path: parquet/up_fall-cs/train-*.parquet
- split: validation
path: parquet/up_fall-cs/validation-*.parquet
- split: test
path: parquet/up_fall-cs/test-*.parquet
- config_name: up_fall-cv
data_files:
- split: train
path: parquet/up_fall-cv/train-*.parquet
- split: validation
path: parquet/up_fall-cv/validation-*.parquet
- split: test
path: parquet/up_fall-cv/test-*.parquet
- config_name: caucafall
data_files:
- split: train
path: parquet/caucafall/train-*.parquet
- split: validation
path: parquet/caucafall/validation-*.parquet
- split: test
path: parquet/caucafall/test-*.parquet
- config_name: cmdfall
data_files:
- split: train
path: parquet/cmdfall/train-*.parquet
- split: validation
path: parquet/cmdfall/validation-*.parquet
- split: test
path: parquet/cmdfall/test-*.parquet
- config_name: edf
data_files:
- split: train
path: parquet/edf/train-*.parquet
- split: validation
path: parquet/edf/validation-*.parquet
- split: test
path: parquet/edf/test-*.parquet
- config_name: gmdcsa24
data_files:
- split: train
path: parquet/gmdcsa24/train-*.parquet
- split: validation
path: parquet/gmdcsa24/validation-*.parquet
- split: test
path: parquet/gmdcsa24/test-*.parquet
- config_name: le2i
data_files:
- split: train
path: parquet/le2i/train-*.parquet
- split: validation
path: parquet/le2i/validation-*.parquet
- split: test
path: parquet/le2i/test-*.parquet
- config_name: mcfd
data_files:
- split: train
path: parquet/mcfd/train-*.parquet
- config_name: occu
data_files:
- split: train
path: parquet/occu/train-*.parquet
- split: validation
path: parquet/occu/validation-*.parquet
- split: test
path: parquet/occu/test-*.parquet
- config_name: up_fall
data_files:
- split: train
path: parquet/up_fall/train-*.parquet
- split: validation
path: parquet/up_fall/validation-*.parquet
- split: test
path: parquet/up_fall/test-*.parquet
- config_name: cs-staged
data_files:
- split: train
path: parquet/cs-staged/train-*.parquet
- split: validation
path: parquet/cs-staged/validation-*.parquet
- split: test
path: parquet/cs-staged/test-*.parquet
- config_name: cv-staged
data_files:
- split: train
path: parquet/cv-staged/train-*.parquet
- split: validation
path: parquet/cv-staged/validation-*.parquet
- split: test
path: parquet/cv-staged/test-*.parquet
- config_name: cs-staged-wild
data_files:
- split: train
path: parquet/of-sta-to-all-cs/train-*.parquet
- split: validation
path: parquet/of-sta-to-all-cs/validation-*.parquet
- split: test
path: parquet/of-sta-to-all-cs/test-*.parquet
- config_name: cv-staged-wild
data_files:
- split: train
path: parquet/of-sta-to-all-cv/train-*.parquet
- split: validation
path: parquet/of-sta-to-all-cv/validation-*.parquet
- split: test
path: parquet/of-sta-to-all-cv/test-*.parquet
- config_name: OOPS
data_files:
- split: train
path: parquet/OOPS/train-*.parquet
- split: validation
path: parquet/OOPS/validation-*.parquet
- split: test
path: parquet/OOPS/test-*.parquet
dataset_info:
- config_name: labels
features:
- name: path
dtype: string
- name: label
dtype:
class_label:
names:
'0': walk
'1': fall
'2': fallen
'3': sit_down
'4': sitting
'5': lie_down
'6': lying
'7': stand_up
'8': standing
'9': other
'10': kneel_down
'11': kneeling
'12': squat_down
'13': squatting
'14': crawl
'15': jump
- name: start
dtype: float32
- name: end
dtype: float32
- name: subject
dtype: int32
- name: cam
dtype: int32
- name: dataset
dtype: string
splits:
- name: train
num_bytes: 0
num_examples: 52618
- config_name: labels-syn
features:
- name: path
dtype: string
- name: label
dtype:
class_label:
names:
'0': walk
'1': fall
'2': fallen
'3': sit_down
'4': sitting
'5': lie_down
'6': lying
'7': stand_up
'8': standing
'9': other
'10': kneel_down
'11': kneeling
'12': squat_down
'13': squatting
'14': crawl
'15': jump
- name: start
dtype: float32
- name: end
dtype: float32
- name: subject
dtype: int32
- name: cam
dtype: int32
- name: dataset
dtype: string
- name: age_group
dtype:
class_label:
names:
'0': toddlers_1_4
'1': children_5_12
'2': teenagers_13_17
'3': young_adults_18_34
'4': middle_aged_35_64
'5': elderly_65_plus
- name: gender_presentation
dtype:
class_label:
names:
'0': male
'1': female
- name: monk_skin_tone
dtype:
class_label:
names:
'0': mst1
'1': mst2
'2': mst3
'3': mst4
'4': mst5
'5': mst6
'6': mst7
'7': mst8
'8': mst9
'9': mst10
- name: race_ethnicity_omb
dtype:
class_label:
names:
'0': white
'1': black
'2': asian
'3': hispanic_latino
'4': aian
'5': nhpi
'6': mena
- name: bmi_band
dtype:
class_label:
names:
'0': underweight
'1': normal
'2': overweight
'3': obese
- name: height_band
dtype:
class_label:
names:
'0': short
'1': avg
'2': tall
- name: environment_category
dtype:
class_label:
names:
'0': indoor
'1': outdoor
- name: camera_shot
dtype:
class_label:
names:
'0': static_wide
'1': static_medium_wide
- name: speed
dtype:
class_label:
names:
'0': 24fps_rt
'1': 25fps_rt
'2': 30fps_rt
'3': std_rt
- name: camera_elevation
dtype:
class_label:
names:
'0': eye
'1': low
'2': high
'3': top
- name: camera_azimuth
dtype:
class_label:
names:
'0': front
'1': rear
'2': left
'3': right
- name: camera_distance
dtype:
class_label:
names:
'0': medium
'1': far
splits:
- name: train
num_bytes: 0
num_examples: 19228
- config_name: metadata-syn
features:
- name: path
dtype: string
- name: dataset
dtype: string
- name: age_group
dtype:
class_label:
names:
'0': toddlers_1_4
'1': children_5_12
'2': teenagers_13_17
'3': young_adults_18_34
'4': middle_aged_35_64
'5': elderly_65_plus
- name: gender_presentation
dtype:
class_label:
names:
'0': male
'1': female
- name: monk_skin_tone
dtype:
class_label:
names:
'0': mst1
'1': mst2
'2': mst3
'3': mst4
'4': mst5
'5': mst6
'6': mst7
'7': mst8
'8': mst9
'9': mst10
- name: race_ethnicity_omb
dtype:
class_label:
names:
'0': white
'1': black
'2': asian
'3': hispanic_latino
'4': aian
'5': nhpi
'6': mena
- name: bmi_band
dtype:
class_label:
names:
'0': underweight
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OmniFall: A Unified Benchmark for Staged-to-Wild Fall Detection
OmniFall is a comprehensive fall detection benchmark with dense temporal segment annotations across three components: OF-Staged (8 public lab datasets), OF-In-the-Wild (genuine accidents from OOPS), and OF-Synthetic (12,000 diffusion-generated videos with demographic diversity). All components share a sixteen-class activity taxonomy.
Quickstart
Labels only (no video files needed)
from datasets import load_dataset
# 8 staged datasets, cross-subject split
ds = load_dataset("simplexsigil2/omnifall", "of-sta-cs")
print(ds["train"][0]) # {'path': ..., 'label': 1, 'start': 0.0, 'end': 2.5, ...}
# Cross-domain: train on staged, test on all (staged + itw + syn)
ds = load_dataset("simplexsigil2/omnifall", "of-sta-to-all-cs")
# Synthetic data with demographic metadata (19 columns)
ds = load_dataset("simplexsigil2/omnifall", "of-syn")
With video loading (pip install omnifall)
import omnifall
# OF-Syn videos auto-download from HF Hub (~9.1GB, cached)
ds = omnifall.load("of-syn", video=True)
# OF-ItW requires one-time OOPS video preparation
omnifall.prepare_oops() # streams ~45GB, extracts ~2.6GB
ds = omnifall.load("of-itw", video=True)
# The video column contains absolute file paths (strings)
print(ds["train"][0]["video"])
Video paths can also be added to an already-loaded dataset via omnifall.add_video(ds, config="of-syn"). OOPS preparation is also available via CLI: omnifall prepare-oops.
Overview
| Videos | Segments (SV) | Duration (SV) | |
|---|---|---|---|
| OF-Staged (8 datasets) | 2,164 | 9,590 | 13.81h |
| OF-ItW (OOPS) | 818 | 4,022 | 2.65h |
| OF-Syn | 12,000 | 19,228 | 16.88h |
| Total | 14,982 | 32,840 | 33.34h |
| Dataset | Type | Videos | Segments (SV) | Duration (SV) | Avg Seg (s) |
|---|---|---|---|---|---|
| CMDFall | multi (7 views) | 384 | 6,026 | 7.12h | 4.25 |
| UP-Fall | multi (2 views) | 1,118 | 1,213 | 4.59h | 13.63 |
| Le2i | single | 190 | 967 | 0.79h | 2.95 |
| GMDCSA24 | single | 160 | 458 | 0.36h | 2.80 |
| CAUCAFall | single | 100 | 258 | 0.28h | 3.85 |
| EDF | multi (2 views) | 10 | 254 | 0.22h | 3.14 |
| OCCU | multi (2 views) | 10 | 245 | 0.25h | 3.54 |
| MCFD | multi (8 views) | 192 | 169 | 0.20h | 4.26 |
| OOPS-Fall | single | 818 | 4,022 | 2.65h | 2.38 |
| OF-Syn | single | 12,000 | 19,228 | 16.88h | 3.16 |
SV = single-view (one count per unique camera perspective). Multi-view datasets have additional synchronized views; see statistics.md for full multi-view counts and class distributions.
Configs
Over 70 configurations are available. Each returns train/validation/test splits.
| Category | Examples | Description |
|---|---|---|
| Same-domain | of-sta-cs, of-sta-cv, of-itw, of-syn |
Train and test from the same source |
| Cross-domain (to-all) | of-sta-to-all-cs, of-syn-to-all-cs |
Train on one source, test on all (staged + ItW + Syn) |
| Individual to-all | cmdfall-to-all-cs, edf-to-all-cv |
Train on single dataset, test on all |
| OF-Syn demographic | of-syn-cross-age, of-syn-cross-bmi |
Cross-demographic generalization splits |
| Aggregate | cs, cv |
All staged + OOPS combined |
| Individual | cmdfall-cs, le2i-cv |
Single staged dataset |
| Labels/metadata | labels, labels-syn, framewise-syn |
Raw annotations without splits |
See CONFIGS.md for the complete configuration reference including deprecated names.
Citation
If you use OmniFall in your research, please cite our paper as well as the sub-dataset papers:
@misc{omnifall,
title={OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection},
author={David Schneider and Zdravko Marinov and Rafael Baur and Zeyun Zhong and Rodi Düger and Rainer Stiefelhagen},
year={2025},
eprint={2505.19889},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2505.19889},
},
@inproceedings{omnifall_cmdfall,
title={A multi-modal multi-view dataset for human fall analysis and preliminary investigation on modality},
author={Tran, Thanh-Hai and Le, Thi-Lan and Pham, Dinh-Tan and Hoang, Van-Nam and Khong, Van-Minh and Tran, Quoc-Toan and Nguyen, Thai-Son and Pham, Cuong},
booktitle={2018 24th International Conference on Pattern Recognition (ICPR)},
pages={1947--1952},
year={2018},
organization={IEEE}
},
@article{omnifall_up-fall,
title={UP-fall detection dataset: A multimodal approach},
author={Mart{\'\i}nez-Villase{\~n}or, Lourdes and Ponce, Hiram and Brieva, Jorge and Moya-Albor, Ernesto and N{\'u}{\~n}ez-Mart{\'\i}nez, Jos{\'e} and Pe{\~n}afort-Asturiano, Carlos},
journal={Sensors},
volume={19},
number={9},
pages={1988},
year={2019},
publisher={MDPI}
},
@article{omnifall_le2i,
title={Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification},
author={Charfi, Imen and Miteran, Johel and Dubois, Julien and Atri, Mohamed and Tourki, Rached},
journal={Journal of Electronic Imaging},
volume={22},
number={4},
pages={041106--041106},
year={2013},
publisher={Society of Photo-Optical Instrumentation Engineers}
},
@article{omnifall_gmdcsa,
title={GMDCSA-24: A dataset for human fall detection in videos},
author={Alam, Ekram and Sufian, Abu and Dutta, Paramartha and Leo, Marco and Hameed, Ibrahim A},
journal={Data in Brief},
volume={57},
pages={110892},
year={2024},
publisher={Elsevier}
},
@article{omnifall_cauca,
title={Dataset CAUCAFall},
author={Eraso, Jose Camilo and Mu{\~n}oz, Elena and Mu{\~n}oz, Mariela and Pinto, Jesus},
journal={Mendeley Data},
volume={4},
year={2022}
},
@inproceedings{omnifall_edf_occu,
title={Evaluating depth-based computer vision methods for fall detection under occlusions},
author={Zhang, Zhong and Conly, Christopher and Athitsos, Vassilis},
booktitle={International symposium on visual computing},
pages={196--207},
year={2014},
organization={Springer}
},
@article{omnifall_mcfd,
title={Multiple cameras fall dataset},
author={Auvinet, Edouard and Rougier, Caroline and Meunier, Jean and St-Arnaud, Alain and Rousseau, Jacqueline},
journal={DIRO-Universit{\'e} de Montr{\'e}al, Tech. Rep},
volume={1350},
pages={24},
year={2010}
},
@inproceedings{omnifall_oops,
title={Oops! predicting unintentional action in video},
author={Epstein, Dave and Chen, Boyuan and Vondrick, Carl},
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
pages={919--929},
year={2020}
}
License
The annotations and split definitions are released under CC BY-NC-SA 4.0. The original video data belongs to their respective owners and should be obtained from the original sources.
Contact
For questions about the dataset, please contact [david.schneider@kit.edu].
Documentation
- statistics.md - Full dataset statistics and class distributions
- CONFIGS.md - Complete configuration reference and deprecated names
- STRUCTURE.md - Repository structure and data formats
- LABELS.md - Label definitions and annotation guidelines
- omnifall_dataset_examples.ipynb - Interactive examples with video loading and visualization