owlv2-large-patch14-ensemble
by google
Open-vocabulary OWLv2 detector for text-conditioned object search
google/owlv2-large-patch14-ensemblemixpeek://image_extractor@v1/google_owlv2_large_ensemble_v1Overview
OWLv2 Large Patch14 Ensemble is Google's open-vocabulary detector for zero-shot object localization. It lets a pipeline search for objects described in text instead of relying only on a fixed supervised label set.
On Mixpeek, OWLv2 is useful when an agent needs to find visual categories that change by task: a specific product shape, a UI control, damaged equipment, or a visual policy violation. The detector outputs boxes and labels that can be stored, filtered, and joined with embeddings or captions.
Architecture
Vision Transformer based open-vocabulary object detector. It aligns text queries and image regions so arbitrary text labels can guide detection at inference time.
Mixpeek SDK Integration
import { Mixpeek } from "mixpeek";
const mx = new Mixpeek({ apiKey: "API_KEY" });
// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
namespace_id: "my-namespace",
collection_name: "my-collection",
source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
feature_extractor: {
feature_extractor_name: "object_detection",
version: "v1",
parameters: { model_id: "google/owlv2-large-patch14-ensemble" },
},
});Capabilities
- Zero-shot object detection
- Text-conditioned visual localization
- Strong fit for dynamic agent queries
- Apache 2.0 license
Use Cases on Mixpeek
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Specification
Research Paper
OWLv2 Large Patch14 Ensemble
arxiv.orgBuild a pipeline with owlv2-large-patch14-ensemble
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