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How to ask JEV a color question about each object in a photo with JEV Sees

Detect objects in one image and get a per-object color answer from a fixed list of options.

  • Top pick
  • Research
  • Intermediate
  • 30 minutes
  • From the README
  • Any agent

Authorization notice. JEV Sees is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Credentials. Keep your TYPESAFE_API_KEY in your shell environment and do not paste it into committed files or shared logs.

Who it is forA 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.

The problemAnswering a visual question for every object in a picture by hand is slow and hard to repeat.

The outcomeA terminal table with one row per detected object showing the object ID, the chosen color, and a confidence value.

What you need first

  • 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

Steps

  1. Clone the project with git clone https://github.com/CharlesFeng0314/JEV_sees.git.
  2. Enter the folder with cd JEV_sees.
  3. Install it with python -m pip install -e ..
  4. Set your key on macOS or Linux with export TYPESAFE_API_KEY="your-key", or in PowerShell with $env:TYPESAFE_API_KEY = "your-key".
  5. Run the bundled example with python examples/bus_color.py.

Prompt for your agent

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.

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.

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