Hunter Eyes

Deep-set, hooded, horizontal eyes under a low, straight brow.

ImageFacehunter-eyesVersion 1

Scores the eye area as a whole: depth of the eye socket, how much upper eyelid shows, where the brow sits, and the shape of the eye. The archetype is a steady, narrow, horizontal gaze; the opposite is a wide, round, fully exposed eye.

What it looks for

Deep-set eyes under a projecting brow ridge
Little or no visible upper eyelid
A long, narrow, horizontal eye shape
A low, straight brow close to the eye
No white showing below the iris

Input

Send one image as a base64 data URL in image: PNG, JPEG, or WebP, at most 3 MiB (3,145,728 bytes) decoded. Text is optional context. A request with an image costs 10 units however many image formulas it names, so batch this one with others such as Jawline and Canthal Tilt, up to 8 per request.

The call returns noul, the probability from 0 to 1 that the answer is yes, and mogs, the verdict. The pass/fail boundary is set on the server and never returned. Use mogs as the decision and noul to rank.

POST /api/v1/mog

# Build the body in a file: a base64 image is too long for a shell argument.
# For a PNG or WebP file, change image/jpeg to image/png or image/webp.
{
  printf '{"formula":"hunter-eyes","image":"data:image/jpeg;base64,'
  base64 < photo.jpg | tr -d '\n'
  printf '"}'
} > body.json

curl https://mogger.dev/api/v1/mog \
  -H "Authorization: Bearer $MOGGER_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @body.json

// Node 18 or later, as an ES module (mog.mjs). Use image/png or image/webp for other file types.
import { readFile } from "node:fs/promises";

const image = "data:image/jpeg;base64," + (await readFile("photo.jpg")).toString("base64");

const res = await fetch("https://mogger.dev/api/v1/mog", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.MOGGER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ formula: "hunter-eyes", image }),
});
const data = await res.json();
if (!res.ok) throw new Error(`${data.error.code}: ${data.error.message}`);

const { mogs, noul } = data.results["hunter-eyes"];
console.log(mogs, noul);

import base64
import os

import requests

with open("photo.jpg", "rb") as f:
    image = "data:image/jpeg;base64," + base64.b64encode(f.read()).decode("ascii")

res = requests.post(
    "https://mogger.dev/api/v1/mog",
    headers={"Authorization": f"Bearer {os.environ['MOGGER_API_KEY']}"},
    json={"formula": "hunter-eyes", "image": image},
    timeout=60,
)
data = res.json()
if not res.ok:
    raise RuntimeError(f"{data['error']['code']}: {data['error']['message']}")

result = data["results"]["hunter-eyes"]
print(result["mogs"], result["noul"])

# With the mogger skill installed, ask in plain words, for example:
#   Does ./photo.jpg mog on hunter-eyes?
# The skill base64-encodes the file in the shell, so the image
# never enters the model context, and runs:
score_image ./photo.jpg hunter-eyes | jq '.results'

Response

{
  "results": {
    "hunter-eyes": {
      "mogs": true,
      "noul": 0.91,
      "version": 1
    }
  },
  "cost": 10,
  "quota": {
    "remaining": 990,
    "budget": 1000
  },
  "request_id": "req_0MHmB7xKQ2c9tVwLp4ZsYd3R"
}

Example values. Keys are invite only: see Authentication.

Examples

Scored ahead of time with version 1. Each verdict uses the pass/fail boundary in force now.

Rudolph Valentino, 1919
MOGS
Unknown photographer (1919). Public domain. Wikimedia Commons
Abraham Lincoln, 1863
MOGS
Alexander Gardner. Library of Congress. Public domain. Wikimedia Commons
Comtesse d'Haussonville by Ingres, 1845
DOES NOT MOG
Jean-Auguste-Dominique Ingres (detail). Public domain. Wikimedia Commons

Try it

Scored examples show their result at once. Your own image needs an API key and spends 10 units per run.

Formula

Hunter Eyes

Imagehunter-eyes

Deep-set, hooded, horizontal eyes under a low, straight brow.

Examples

Pre-computed, free

Scores one image, with optional text as context.

Black and white portrait of Rudolph Valentino in an open-collared white shirt, 1919

Rudolph Valentino, 1919

Encoding

Example image

Any image your browser can open. Resized to 1024 px on the long side and sent as JPEG.

API keyGet a key

Kept in this browser tab only, never sent anywhere but the API.

Costs 10 units

Paste an API key to score your own input. Examples above are free.

Result

Pre-computed

MOGS

Rudolph Valentino, 1919, scored when the example was added. No request was sent.

POST /api/v1/mog

{
  "formula": "hunter-eyes",
  "image": "data:image/jpeg;base64,… encoding"
}

Response

no request

Pre-computed when the example was added. A live call returns the same results object plus cost, quota, and request_id.

{
  "results": {
    "hunter-eyes": {
      "mogs": true,
      "noul": 0.6208,
      "version": 1
    }
  }
}

Hunter Eyes

What it looks for

Input

Examples

Rudolph Valentino, 1919

Abraham Lincoln, 1863

Comtesse d'Haussonville by Ingres, 1845

Try it