omnifall

	---
	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:
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	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
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	num_examples: 670
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	- name: test
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	- config_name: mcfd
	features:
	- name: path
	dtype: string
	- name: label
	dtype:
	class_label:
	names:
	'0': walk
	'1': fall
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	'8': standing
	'9': other
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	'11': kneeling
	'12': squat_down
	'13': squatting
	'14': crawl
	'15': jump
	- name: start
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	- name: cam
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	- name: dataset
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	num_examples: 1352
	- config_name: occu
	features:
	- name: path
	dtype: string
	- name: label
	dtype:
	class_label:
	names:
	'0': walk
	'1': fall
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	'9': other
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	'12': squat_down
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	'14': crawl
	'15': jump
	- name: start
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	num_examples: 289
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	- name: test
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	num_examples: 101
	- config_name: up_fall
	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
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	- name: dataset
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	splits:
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	num_examples: 2150
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	num_examples: 140
	- name: test
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	num_examples: 522
	- config_name: caucafall
	features:
	- name: path
	dtype: string
	- name: label
	dtype:
	class_label:
	names:
	'0': walk
	'1': fall
	'2': fallen
	'3': sit_down
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	'8': standing
	'9': other
	'10': kneel_down
	'11': kneeling
	'12': squat_down
	'13': squatting
	'14': crawl
	'15': jump
	- name: start
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	num_examples: 176
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	- config_name: cs-staged
	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
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	- name: cam
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	- name: dataset
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	num_examples: 26036
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	num_examples: 4272
	- name: test
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	num_examples: 18664
	- config_name: cv-staged
	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
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	num_examples: 8888
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	- config_name: cs-staged-wild
	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
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	- name: validation
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	- name: test
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	num_examples: 24265
	- config_name: cv-staged-wild
	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
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	- name: cam
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	num_examples: 8888
	- name: validation
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	- name: test
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	num_examples: 32800
	- config_name: OOPS
	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
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	num_examples: 1023
	- name: validation
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	num_examples: 482
	- name: test
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	num_examples: 3673
	---
	[![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
	</br>
	<a href="https://arxiv.org/abs/2505.19889">
	<img src="https://img.shields.io/badge/arXiv-2505.19889-b31b1b.svg?logo=arXiv" alt="arXiv" style="height:20px;">
	</a>
	</br>
	<a href="https://simplexsigil.github.io/omnifall/">
	<img src="https://img.shields.io/badge/Omnifall-Project_Page-2FA7C9.svg" alt="Project Page" style="height:20px;">
	</a>

	# 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.

	[[Paper]](https://arxiv.org/abs/2505.19889) [[Project Page]](https://simplexsigil.github.io/omnifall/)

	## Quickstart

	### Labels only (no video files needed)

	```python
	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`)

	```python
	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](https://www.mica.edu.vn/perso/Tran-Thi-Thanh-Hai/CMDFALL.html) \| multi (7 views) \| 384 \| 6,026 \| 7.12h \| 4.25 \|
	\| [UP-Fall](https://sites.google.com/up.edu.mx/har-up/) \| multi (2 views) \| 1,118 \| 1,213 \| 4.59h \| 13.63 \|
	\| [Le2i](https://search-data.ubfc.fr/imvia/FR-13002091000019-2024-04-09_Fall-Detection-Dataset.html) \| single \| 190 \| 967 \| 0.79h \| 2.95 \|
	\| [GMDCSA24](https://github.com/ekramalam/GMDCSA24-A-Dataset-for-Human-Fall-Detection-in-Videos) \| single \| 160 \| 458 \| 0.36h \| 2.80 \|
	\| [CAUCAFall](https://data.mendeley.com/datasets/7w7fccy7ky/4) \| single \| 100 \| 258 \| 0.28h \| 3.85 \|
	\| [EDF](https://doi.org/10.5281/zenodo.15494102) \| multi (2 views) \| 10 \| 254 \| 0.22h \| 3.14 \|
	\| [OCCU](https://doi.org/10.5281/zenodo.15494102) \| multi (2 views) \| 10 \| 245 \| 0.25h \| 3.54 \|
	\| [MCFD](https://www.iro.umontreal.ca/~labimage/Dataset/) \| multi (8 views) \| 192 \| 169 \| 0.20h \| 4.26 \|
	\| [OOPS-Fall](https://oops.cs.columbia.edu/data/) \| 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](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](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:

	```bibtex
	@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](https://creativecommons.org/licenses/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](statistics.md) - Full dataset statistics and class distributions
	- [CONFIGS.md](CONFIGS.md) - Complete configuration reference and deprecated names
	- [STRUCTURE.md](STRUCTURE.md) - Repository structure and data formats
	- [LABELS.md](LABELS.md) - Label definitions and annotation guidelines
	- [omnifall_dataset_examples.ipynb](omnifall_dataset_examples.ipynb) - Interactive examples with video loading and visualization