5225211e45
Three layers shipped:
1. SCRIPT — scripts/staffing/fetch_face_pool.py
Pulls N synthetic StyleGAN faces from thispersondoesnotexist.com
into data/headshots/face_NNNN.jpg, writes manifest.jsonl. Idempotent:
re-running skips existing files. Optional gender tagging via deepface
(currently unavailable on this box; the script handles ImportError
gracefully and tags everything as untagged). Fetched 198 faces with
concurrency=3 in ~67s.
2. SERVER — /headshots/:key route in mcp-server/index.ts
Loads manifest at first hit, caches in globalThis._faces. Hashes the
key with djb2-style mixing → pool index → returns the JPG. Same
key always gets the same face (deterministic). Accepts
?g=man|woman&e=caucasian|black|hispanic|south_asian|east_asian|middle_eastern
to bias pool selection — the gender/ethnicity buckets fall back to
the full pool when no tagged matches exist. Cache-Control:
86400 immutable so faces ride the browser cache after first hit.
/headshots/__reload re-reads the manifest without restart.
3. UI — search.html + console.html worker cards
Re-added overlay <img> on top of the monogram .av circle. img.src
= /headshots/<encoded-key>?g=<hint>&e=<hint>. img.onerror removes
the failed image so the monogram stays visible if the face pool
isn't fetched / CDN is blocked. .av now has overflow:hidden +
position:relative to clip the img to a perfect circle.
Forced-confident name resolution (J: "we're CREATING the profile,
created as though you truly have the information Xavier is more
likely Hispanic and he's a male"):
genderFor(name) — looks up MALE_NAMES + FEMALE_NAMES,
falls back to a deterministic hash split
so unknown names spread ~50/50. Sets now
include cross-cultural names: Alejandro/
Andres/Mateo/Santiago/Joaquin/Cesar/Hugo/
Felipe/Gerardo/Salvador/Ramon (Hispanic),
Raj/Anil/Vikram/Krishna/Pradeep (South
Asian), Wei/Yi/Hiroshi/Akira/Hyun (East
Asian), Demetrius/Kareem/DaQuan/Khalil
(Black), Omar/Khalid/Hassan/Ahmed/Bilal
(Middle Eastern). FEMALE_NAMES extended
in parallel.
guessEthnicityFromFirstName(name)
— confident default of 'caucasian' for any
name not in the cultural buckets so every
worker resolves to a category the face
pool can be biased toward. Order: ME → Black
→ Hispanic → South Asian → East Asian →
Caucasian (matters where names overlap,
e.g. Aisha appears in ME + Black, biases
toward ME for visual fit).
Both helpers also ported into console.html so the triage backfills
and try-it-yourself rendering get the same hint stack.
Privacy note in the script + route comments: the synthetic data uses
the worker's name as the seed; production should hash worker_id (not
name) to avoid leaking PII to a third-party CDN. The fetch URL itself
is referenced once per pool build, not per-worker.
.gitignore — added data/headshots/face_*.jpg (~100MB for 198 faces;
the manifest + script are tracked). Re-running the script on a fresh
checkout rebuilds the pool from scratch.
Verified end-to-end via playwright on devop.live/lakehouse:
forklift query → 10 worker cards
10/10 with face images (real synthetic headshots, not monograms)
0/10 broken
Alejandro G. Nelson → ?g=man&e=hispanic
Patricia K. Garcia → ?g=woman&e=caucasian
Each name → unique face, deterministic across loads.
Console triage backfills get the same treatment.
199 lines
10 KiB
JSON
199 lines
10 KiB
JSON
{"id": 0, "file": "face_0000.jpg", "gender": null}
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{"id": 1, "file": "face_0001.jpg", "gender": null}
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{"id": 2, "file": "face_0002.jpg", "gender": null}
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{"id": 3, "file": "face_0003.jpg", "gender": null}
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{"id": 4, "file": "face_0004.jpg", "gender": null}
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{"id": 5, "file": "face_0005.jpg", "gender": null}
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{"id": 6, "file": "face_0006.jpg", "gender": null}
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{"id": 7, "file": "face_0007.jpg", "gender": null}
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{"id": 8, "file": "face_0008.jpg", "gender": null}
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{"id": 9, "file": "face_0009.jpg", "gender": null}
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{"id": 10, "file": "face_0010.jpg", "gender": null}
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{"id": 11, "file": "face_0011.jpg", "gender": null}
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{"id": 12, "file": "face_0012.jpg", "gender": null}
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{"id": 13, "file": "face_0013.jpg", "gender": null}
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{"id": 14, "file": "face_0014.jpg", "gender": null}
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{"id": 15, "file": "face_0015.jpg", "gender": null}
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{"id": 16, "file": "face_0016.jpg", "gender": null}
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{"id": 17, "file": "face_0017.jpg", "gender": null}
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{"id": 18, "file": "face_0018.jpg", "gender": null}
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{"id": 19, "file": "face_0019.jpg", "gender": null}
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{"id": 20, "file": "face_0020.jpg", "gender": null}
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{"id": 21, "file": "face_0021.jpg", "gender": null}
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{"id": 22, "file": "face_0022.jpg", "gender": null}
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{"id": 23, "file": "face_0023.jpg", "gender": null}
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{"id": 24, "file": "face_0024.jpg", "gender": null}
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{"id": 25, "file": "face_0025.jpg", "gender": null}
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{"id": 26, "file": "face_0026.jpg", "gender": null}
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{"id": 27, "file": "face_0027.jpg", "gender": null}
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{"id": 28, "file": "face_0028.jpg", "gender": null}
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{"id": 29, "file": "face_0029.jpg", "gender": null}
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{"id": 30, "file": "face_0030.jpg", "gender": null}
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{"id": 31, "file": "face_0031.jpg", "gender": null}
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{"id": 32, "file": "face_0032.jpg", "gender": null}
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{"id": 33, "file": "face_0033.jpg", "gender": null}
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{"id": 34, "file": "face_0034.jpg", "gender": null}
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{"id": 35, "file": "face_0035.jpg", "gender": null}
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{"id": 36, "file": "face_0036.jpg", "gender": null}
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{"id": 37, "file": "face_0037.jpg", "gender": null}
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{"id": 38, "file": "face_0038.jpg", "gender": null}
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{"id": 39, "file": "face_0039.jpg", "gender": null}
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{"id": 40, "file": "face_0040.jpg", "gender": null}
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{"id": 41, "file": "face_0041.jpg", "gender": null}
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{"id": 50, "file": "face_0050.jpg", "gender": null}
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{"id": 51, "file": "face_0051.jpg", "gender": null}
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{"id": 52, "file": "face_0052.jpg", "gender": null}
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{"id": 54, "file": "face_0054.jpg", "gender": null}
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{"id": 55, "file": "face_0055.jpg", "gender": null}
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{"id": 56, "file": "face_0056.jpg", "gender": null}
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{"id": 57, "file": "face_0057.jpg", "gender": null}
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{"id": 58, "file": "face_0058.jpg", "gender": null}
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{"id": 59, "file": "face_0059.jpg", "gender": null}
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{"id": 60, "file": "face_0060.jpg", "gender": null}
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{"id": 61, "file": "face_0061.jpg", "gender": null}
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{"id": 62, "file": "face_0062.jpg", "gender": null}
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{"id": 63, "file": "face_0063.jpg", "gender": null}
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{"id": 64, "file": "face_0064.jpg", "gender": null}
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{"id": 65, "file": "face_0065.jpg", "gender": null}
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{"id": 66, "file": "face_0066.jpg", "gender": null}
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{"id": 67, "file": "face_0067.jpg", "gender": null}
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{"id": 68, "file": "face_0068.jpg", "gender": null}
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{"id": 69, "file": "face_0069.jpg", "gender": null}
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{"id": 70, "file": "face_0070.jpg", "gender": null}
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{"id": 71, "file": "face_0071.jpg", "gender": null}
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{"id": 72, "file": "face_0072.jpg", "gender": null}
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{"id": 74, "file": "face_0074.jpg", "gender": null}
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{"id": 75, "file": "face_0075.jpg", "gender": null}
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{"id": 76, "file": "face_0076.jpg", "gender": null}
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{"id": 80, "file": "face_0080.jpg", "gender": null}
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{"id": 81, "file": "face_0081.jpg", "gender": null}
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{"id": 86, "file": "face_0086.jpg", "gender": null}
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{"id": 87, "file": "face_0087.jpg", "gender": null}
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{"id": 88, "file": "face_0088.jpg", "gender": null}
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{"id": 89, "file": "face_0089.jpg", "gender": null}
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{"id": 90, "file": "face_0090.jpg", "gender": null}
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{"id": 91, "file": "face_0091.jpg", "gender": null}
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{"id": 93, "file": "face_0093.jpg", "gender": null}
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{"id": 94, "file": "face_0094.jpg", "gender": null}
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{"id": 95, "file": "face_0095.jpg", "gender": null}
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{"id": 96, "file": "face_0096.jpg", "gender": null}
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{"id": 97, "file": "face_0097.jpg", "gender": null}
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{"id": 98, "file": "face_0098.jpg", "gender": null}
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{"id": 99, "file": "face_0099.jpg", "gender": null}
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{"id": 100, "file": "face_0100.jpg", "gender": null}
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{"id": 101, "file": "face_0101.jpg", "gender": null}
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{"id": 105, "file": "face_0105.jpg", "gender": null}
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{"id": 106, "file": "face_0106.jpg", "gender": null}
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{"id": 107, "file": "face_0107.jpg", "gender": null}
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{"id": 108, "file": "face_0108.jpg", "gender": null}
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{"id": 109, "file": "face_0109.jpg", "gender": null}
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{"id": 110, "file": "face_0110.jpg", "gender": null}
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{"id": 111, "file": "face_0111.jpg", "gender": null}
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{"id": 112, "file": "face_0112.jpg", "gender": null}
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{"id": 113, "file": "face_0113.jpg", "gender": null}
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{"id": 114, "file": "face_0114.jpg", "gender": null}
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{"id": 115, "file": "face_0115.jpg", "gender": null}
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{"id": 116, "file": "face_0116.jpg", "gender": null}
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{"id": 117, "file": "face_0117.jpg", "gender": null}
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{"id": 118, "file": "face_0118.jpg", "gender": null}
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{"id": 119, "file": "face_0119.jpg", "gender": null}
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{"id": 121, "file": "face_0121.jpg", "gender": null}
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{"id": 122, "file": "face_0122.jpg", "gender": null}
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{"id": 123, "file": "face_0123.jpg", "gender": null}
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{"id": 125, "file": "face_0125.jpg", "gender": null}
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{"id": 126, "file": "face_0126.jpg", "gender": null}
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{"id": 127, "file": "face_0127.jpg", "gender": null}
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{"id": 143, "file": "face_0143.jpg", "gender": null}
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{"id": 144, "file": "face_0144.jpg", "gender": null}
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{"id": 145, "file": "face_0145.jpg", "gender": null}
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{"id": 146, "file": "face_0146.jpg", "gender": null}
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{"id": 147, "file": "face_0147.jpg", "gender": null}
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{"id": 148, "file": "face_0148.jpg", "gender": null}
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{"id": 149, "file": "face_0149.jpg", "gender": null}
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{"id": 150, "file": "face_0150.jpg", "gender": null}
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{"id": 151, "file": "face_0151.jpg", "gender": null}
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{"id": 152, "file": "face_0152.jpg", "gender": null}
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{"id": 153, "file": "face_0153.jpg", "gender": null}
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{"id": 154, "file": "face_0154.jpg", "gender": null}
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{"id": 155, "file": "face_0155.jpg", "gender": null}
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{"id": 156, "file": "face_0156.jpg", "gender": null}
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{"id": 157, "file": "face_0157.jpg", "gender": null}
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{"id": 158, "file": "face_0158.jpg", "gender": null}
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{"id": 161, "file": "face_0161.jpg", "gender": null}
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{"id": 162, "file": "face_0162.jpg", "gender": null}
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{"id": 163, "file": "face_0163.jpg", "gender": null}
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{"id": 164, "file": "face_0164.jpg", "gender": null}
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{"id": 165, "file": "face_0165.jpg", "gender": null}
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{"id": 166, "file": "face_0166.jpg", "gender": null}
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{"id": 169, "file": "face_0169.jpg", "gender": null}
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{"id": 170, "file": "face_0170.jpg", "gender": null}
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{"id": 171, "file": "face_0171.jpg", "gender": null}
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{"id": 172, "file": "face_0172.jpg", "gender": null}
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{"id": 173, "file": "face_0173.jpg", "gender": null}
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{"id": 180, "file": "face_0180.jpg", "gender": null}
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{"id": 182, "file": "face_0182.jpg", "gender": null}
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{"id": 183, "file": "face_0183.jpg", "gender": null}
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