Project AURIONAI Use-Cases Research & Innovation
Tencent
vision

YOLO-World

Tencent AI Lab real-time open-vocabulary detector that finds objects named in a text prompt.

TencentTencentChina
Diagram of YOLO-World open-vocabulary detection with text encoder, YOLO backbone and region-text matching, from the YOLO-World README.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released30 Jan 2024
Opennessopen source
Runs onmobile or NPU
Statusactive

R&D Topics

Open-vocabulary object detection and groundingexemplar

Identity

Developer
Tencent
Family
not in the notes
Released
30 Jan 2024 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
CNN
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
YOLO-World v1 and v2, S to X.
Context length
not in the notes
Input
image, text
Output
labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open source
Licence
GNU General Public License v3.0 sources
Access routes
open weights download, API
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
mobile or NPU
Footprint
Edge or toolkit builds listed in: Qualcomm AI Hub.
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2401.17270 https://arxiv.org/abs/2401.17270
  2. github.com/AILab-CVC/YOLO-World https://github.com/AILab-CVC/YOLO-World
  3. aihub.qualcomm.com/models/yolo_world https://aihub.qualcomm.com/models/yolo_world
  4. replicate.com/zsxkib/yolo-world https://replicate.com/zsxkib/yolo-world
  5. docs.roboflow.com/models/supported-models/yolo-world.md https://docs.roboflow.com/models/supported-models/yolo-world.md
  6. docs.ultralytics.com/models/yolo-world https://docs.ultralytics.com/models/yolo-world/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "YOLO-World", https://aurion.semai.id/models/tencent-yolo-world/, records of October 2026.