YOLO-World-L

by AILab-CVC

Real-time open-vocabulary object detection with text prompts

320Kdl/month

~100Mparams

HuggingFace Use in Pipeline

Identifiers

Model ID

AILab-CVC/YOLO-World-L

Feature URI

mixpeek://image_extractor@v1/tencent_yoloworld_large_v1

Overview

YOLO-World extends the YOLO detector family with open-vocabulary detection via vision-language modeling. Users specify objects to detect with text prompts; the model finds them zero-shot at real-time speeds (52 FPS on V100).

On Mixpeek, YOLO-World enables detecting arbitrary objects in video and images using natural language, without retraining for each new category.

Architecture

YOLO backbone with Re-parameterizable Vision-Language Path Aggregation Network (RepVL-PAN). Uses region-text contrastive loss and a prompt-then-detect paradigm where vocabulary is embedded as model parameters for fast inference.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

await mx.collections.ingest({
  collection_id: "my-collection",
  source: { url: "https://example.com/video.mp4" },
  feature_extractors: [{
    name: "object_detection",
    version: "v1",
    params: { model_id: "AILab-CVC/YOLO-World-L" }
  }]
});