{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "charlesfeng0314-jev-sees--answer-color-question-per-object-in-photo",
 "repo": "CharlesFeng0314/JEV_sees",
 "repo_url": "https://github.com/CharlesFeng0314/JEV_sees",
 "repo_slug": "charlesfeng0314-jev-sees",
 "title": "Ask JEV a color question about each object in a photo",
 "page_title": "How to ask JEV a color question about each object in a photo with JEV Sees",
 "summary": "Detect objects in one image and get a per-object color answer from a fixed list of options.",
 "who": "A developer or analyst with a single photo who needs to label an attribute, such as the color of each vehicle, and wants structured rows back.",
 "problem": "Answering a visual question for every object in a picture by hand is slow and hard to repeat.",
 "outcome": "A terminal table with one row per detected object showing the object ID, the chosen color, and a confidence value.",
 "steps": [
  "Clone the project with `git clone https://github.com/CharlesFeng0314/JEV_sees.git`.",
  "Enter the folder with `cd JEV_sees`.",
  "Install it with `python -m pip install -e .`.",
  "Set your key on macOS or Linux with `export TYPESAFE_API_KEY=\"your-key\"`, or in PowerShell with `$env:TYPESAFE_API_KEY = \"your-key\"`.",
  "Run the bundled example with `python examples/bus_color.py`."
 ],
 "agent_prompt": "In the JEV_sees repo at <repo path>, with TYPESAFE_API_KEY set, run examples/bus_color.py and report the printed rows for assets/bus.jpg. Expect a table with object_id, label, choice, and confidence columns; verify that each choice is one of the listed colors.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "JEV Sees is an independent experimental project (v0.1.0) built on JEV, not an official TypeSafe AI product, and its API may change.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or newer",
  "A JEV API key from console.typesafe.ai/keys",
  "Internet access for the first run, unless the Florence-2 and CLIP weights are already available locally",
  "Git and a terminal"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "Keep your TYPESAFE_API_KEY in your shell environment and do not paste it into committed files or shared logs."
  }
 ],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/charlesfeng0314-jev-sees/answer-color-question-per-object-in-photo/",
 "md": "https://dedupedai.com/use-cases/charlesfeng0314-jev-sees/answer-color-question-per-object-in-photo/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/charlesfeng0314-jev-sees--answer-color-question-per-object-in-photo.json",
 "api_version": "v1"
}