Skip to content
JevDirectory.orgTraffic count unavailable. View site traffic

Jev directory

CommunityJev Tools & CLIs

JEV Sees

An independent open-source pipeline that gives Jev vision: it detects and tracks objects in images, video, and RGB-D camera feeds, then asks Jev a typed question about each relevant object and prints the chosen answer with its confidence.
See highlightsOpen github.com
Stars
224
Language
Python
License
MIT
Reading time
2 min
Published by
Community
Author
CharlesFeng0314
Last verified
Oct 2026
Tagscommunitygithubpythonvisionrobotics
Works forJev for ClassificationJev for Scoring
Used inJev for Software & DevToolsJev for Robotics & Hardware
Languages
Python
Platforms
API
Capabilities
Open sourceRequires API key

Highlights

  • Built on Jev and typesafe-sdk; the README states it is not an official TypeSafe AI vision product.
  • Finds objects in images, video, and RGB-D cameras and keeps their IDs consistent across frames.
  • Requires Python 3.10+; install with git clone, cd, then python -m pip install -e .
  • First run downloads the default Florence-2 and CLIP weights unless they are already local.
  • The bus example prints object_001 blue 1.0; the saved image marks the object ID and Jev's answer.

Quickstart

python
from jev_sees import Sees

result = Sees().for_each("bus").choice(
    "assets/bus.jpg",
    "What color is this bus?",
    choices=["yellow", "red", "white", "blue", "black", "uncertain"],
    save="bus_answer.png",
)

for row in result.rows:
    print(row["object_id"], row["choice"], row["confidence"])

Watch out

README reviewed 2026-10-17; the excerpt gives no accuracy benchmarks, latency figures, or pricing beyond the TypeSafe API key requirement, and object detection and tracking come from Florence-2 and CLIP rather than from Jev itself.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

X: Happy JevDay: images, box, longer context, and an opt-in to find jaggedness

Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.

Show HN: Verifying robot picks with a decision modelRead the thread on Hacker News

X: First among models under 10B on the Decision Index v0.2.1. Liquid AI's d1-3B is built from LFM2.5-VL-3B and…

X: The classic hotdog classifier as a real-time vision decision. Fayaz Ahmed rebuilt the not hotdog app on…

From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

Follow @typesafeai