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h/hospital_room/00002796.jpg
h/hospital_room
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null
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h/hospital_room/00004152.jpg
h/hospital_room
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null
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h/hospital_room
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[ "patient_gown", "scrubs" ]
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h/hospital_room
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[ "lab_coat", "scrubs" ]
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everyday street clothes, a patient gown: thin, pale or patterned, worn by a patient usually in bed
3
false
true
true
false
h/hospital_room/00002918.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00000599.jpg
h/hospital_room
[ "patient_gown", "scrubs" ]
[ "patient_gown", "scrubs" ]
true
[ "patient_gown", "scrubs" ]
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a patient gown: thin, pale or patterned, worn by a patient usually in bed
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a patient gown: thin, pale or patterned, worn by a patient usually in bed
2
true
true
false
false
h/hospital_room/00003327.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00002026.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00004666.jpg
h/hospital_room
[ "patient_gown", "street" ]
[ "patient_gown", "street" ]
true
[ "patient_gown", "street" ]
everyday street clothes, a patient gown: thin, pale or patterned, worn by a patient usually in bed
a patient gown: thin, pale or patterned, worn by a patient usually in bed, everyday street clothes
2
false
true
true
false
h/hospital_room/00001533.jpg
h/hospital_room
[ "patient_gown" ]
[ "patient_gown" ]
true
[ "patient_gown" ]
a patient gown: thin, pale or patterned, worn by a patient usually in bed
a patient gown: thin, pale or patterned, worn by a patient usually in bed
1
false
true
false
false
h/hospital_room/00001337.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
1
false
false
false
false
h/hospital_room/00001542.jpg
h/hospital_room
[ "patient_gown", "scrubs" ]
[ "patient_gown", "scrubs" ]
true
[ "patient_gown", "scrubs" ]
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a patient gown: thin, pale or patterned, worn by a patient usually in bed
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a patient gown: thin, pale or patterned, worn by a patient usually in bed
2
true
true
false
false
h/hospital_room/00001396.jpg
h/hospital_room
[]
[ "patient_gown" ]
false
null
patient gown: thin, pale or patterned, worn by a patient usually in bed
a patient gown: thin, pale or patterned, worn by a patient usually in bed
null
null
null
null
null
h/hospital_room/00001555.jpg
h/hospital_room
[ "patient_gown" ]
[ "patient_gown", "street" ]
false
null
a patient gown: thin, pale or patterned, worn by a patient usually in bed
a patient gown: thin, pale or patterned, worn by a patient usually in bed, everyday street clothes
null
null
null
null
null
h/hospital_room/00001110.jpg
h/hospital_room
[ "mask", "scrubs" ]
[ "mask", "scrubs" ]
true
[ "mask", "scrubs" ]
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a face mask covering the nose and mouth
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a face mask covering the nose and mouth
2
true
false
false
true
h/hospital_room/00002817.jpg
h/hospital_room
[ "patient_gown", "scrubs" ]
[ "lab_coat", "scrubs" ]
false
null
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a patient gown: thin, pale or patterned, worn by a patient usually in bed
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a white lab coat
null
null
null
null
null
h/hospital_room/00000357.jpg
h/hospital_room
[ "patient_gown", "scrubs", "street" ]
[ "patient_gown", "scrubs", "street", "surgical_gown" ]
false
null
everyday street clothes, medical scrubs, a solid-colour tunic and trousers worn by clinical staff, a patient gown: thin, pale or patterned, worn by a patient usually in bed
everyday street clothes, medical scrubs, a sterile surgical gown worn over scrubs by staff in an operating theatre, a patient gown: thin, pale or patterned, worn by a patient usually in bed
null
null
null
null
null
h/hospital_room/00001586.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00001474.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00004443.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00001797.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
0
false
false
false
false
h/hospital_room/00002028.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
1
false
false
false
false
h/hospital_room/00003386.jpg
h/hospital_room
[ "none" ]
[ "none" ]
true
[ "none" ]
nobody visible
nobody visible
1
false
false
false
false
h/hospital_room/00001107.jpg
h/hospital_room
[ "scrubs", "street" ]
[ "scrubs", "street" ]
true
[ "scrubs", "street" ]
everyday street clothes, medical scrubs, a solid-colour tunic and trousers worn by clinical staff
medical scrubs, a solid-colour tunic and trousers worn by clinical staff, everyday street clothes
4
true
false
true
false
h/hospital_room/00003919.jpg
h/hospital_room
[ "scrubs" ]
[ "scrubs" ]
true
[ "scrubs" ]
medical scrubs, a solid-colour tunic and trousers worn by clinical staff
medical scrubs, a solid-colour tunic and trousers worn by clinical staff
2
true
false
false
false
End of preview. Expand in Data Studio

clinical-attire-labels

4,000 Places365 images labelled for clinical attire and role. Every label is machine-generated.

scrubs · surgical_gown · patient_gown · lab_coat · street · mask · none plus derived roles: role_staff · role_patient · role_visitor · ppe_mask

Why this exists

There is no public labelled dataset for medical scrubs, hospital gowns or lab coats. Fashionpedia has none of them among its 46 garment categories; dataset searches return face-mask corpora and construction-site PPE. Anyone trying to build a hospital attire or role classifier hits that wall immediately. This is an attempt to lower it — not by solving the problem, but by publishing labels with their provenance and error rates measured, so they can be used with the right amount of trust.

How the labels were made

qwen2.5vl:7b, run locally, on Places365-Standard images from four clinical scenes (hospital_room, operating_room, nursing_home, hospital) and four domestic ones (bedroom, hotel_room, dorm_room, office).

  1. Every image asked twice with different wording. Only agreeing answers become a consensus label — 2,966 of 4,000 (74%). Both prompts' parsed answers and their raw text are retained for all 4,000 rows, including disagreements, so you can re-parse or re-adjudicate.
  2. Cross-checked with an independent person detector (yolov8n-pose), which shares no failure mode with the VL model. persons_detected is included per row.

Measured error rates — please read before using

check result
hand audit (16 consensus images, inspected by eye) ~78% correct
VL claims attire but detector finds no person 3.9% (patient_gown 7.1%, lab_coat 0%)
VL says nobody but detector finds a person 12.3%
prompt-rewording agreement 74%

These are weak labels. Any model trained on them is bounded by a ~78%-accurate teacher, and results measured against them describe agreement with qwen2.5vl:7b, not ground truth.

Known failure modes

  • Oxygen masks are labelled mask. The audit found a child on a nebuliser scored mask-positive. For PPE-compliance work this is backwards — infection control and respiratory support are opposite situations. Consider persons_detected and scene context before using ppe_mask.
  • Bedding is sometimes read as patient_gown — the 7.1% hallucination rate for that class.
  • Places365 contains illustrations. At least one audited image is a cartoon of nurses. Drawings are present; filter if that matters to you.
  • Consensus rate varies by difficulty: 96% on empty bedrooms, 53% on nursing homes full of people in ambiguous clothing. The dataset is easiest exactly where it is least interesting.

The taxonomy came from an audit

The first class list said "hospital gown". Inspection showed its only failures were staff in blue surgical gowns labelled as such — correct English, operationally backwards, because a clinician's sterile gown and a patient's gown mean opposite things. Splitting them is what makes role derivable:

role_staff    = scrubs OR surgical_gown OR lab_coat
role_patient  = patient_gown
role_visitor  = street
ppe_mask      = mask          # orthogonal to role, a compliance signal

Schema

field type notes
file str Places365 path, e.g. h/hospital_room/00002796.jpg
scene str source scene class
attire_prompt_a / _b list[str] parsed answers from each prompt
agree bool whether the two agreed
consensus list[str] or null the trusted label; null when the prompts disagreed
raw_prompt_a / _b str the model's raw text, for re-parsing
persons_detected int or null yolov8n-pose count (consensus rows only)
role_*, ppe_mask bool derived, present on consensus rows

Images are not included

Only labels. Download Places365-Standard from the official source and join on file. Places365 has its own licence and terms; this release adds no pixel data and makes no claim over it. The labels in this repository are MIT.

Scope

Operations, never diagnosis. Who is present and whether PPE is worn are staffing, workflow and compliance questions. Nothing here describes any person's health, and none of it is validated for clinical use.

Trained model

resoajoe/clinical-attire-nano — 47K parameters, 189 KB, 0.36 ms/frame, trained on the detector-cleaned subset of these labels.

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