# Tencent/WeVisOne-VL

> WeVisOne-VL is a vision-language model by the WeChat Vision Team at Tencent that unifies object-level and pixel-level perception: detection, referring localization, counting, pointing, OCR, segmentation, and alpha matting. It handles points, boxes, masks, and alpha mattes, and reliably rejects queries for absent targets.

- Magnitude: 3.5 out of 10 — Early signal
- Stars: 113 total · +1 star measured 2026-10-25, 00:10–01:33 UTC, ≈ 25 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Jupyter Notebook · Created: 2026-10-22 · Last push: 2026-10-23
- GitHub: https://github.com/Tencent/WeVisOne-VL · Page: https://gitnova.dev/en/r/Tencent/WeVisOne-VL

## Useful for

- Run object detection on an image using WeVisOne-VL-4B.
- Perform referring segmentation from a text description to get an object mask.
- Extract an alpha matte for a box-specified object without using SAM.

## Why it’s here

- Star-counter measurements on 2026-10-25 (UTC), 00:10–01:33: 112 → 113 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +25 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 113 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #185.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 4
- Issues and pull requests: 2
- Watchers: 0
- Average over the last week: 35 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-10-22 … 2026-10-25: 0, 86, 27, 1

## Spotted in now

- Top new repositories this week: #185

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-25 01:42 UTC, updated every 30 minutes.