Zero-shot object detection AI Models

Models listed

25

Reviewed and live in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Zero-shot object detection models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Zero-shot object detection model list

Scan the table below, then open any model for pricing, limits and the full write-up.

25 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
fushh7/llmdet_swin_large_hf
fushh7
10.0
fushh7/llmdet_swin_tiny_hf
fushh7
10.0
google/owlv2-base-patch16
google
10.0
google/owlv2-base-patch16-ensemble
google
10.0
google/owlv2-base-patch16-finetuned
google
10.0
google/owlv2-large-patch14
google
10.0
google/owlv2-large-patch14-ensemble
google
10.0
google/owlv2-large-patch14-finetuned
google
10.0
google/owlvit-base-patch16
google
10.0
google/owlvit-base-patch32
google
10.0
google/owlvit-large-patch14
google
10.0
IDEA-Research/grounding-dino-base
IDEA-Research
10.0
IDEA-Research/grounding-dino-tiny
IDEA-Research
10.0
iSEE-Laboratory/llmdet_base
iSEE-Laboratory
10.0
iSEE-Laboratory/llmdet_large
iSEE-Laboratory
10.0
iSEE-Laboratory/llmdet_tiny
iSEE-Laboratory
10.0
omlab/omdet-turbo-swin-tiny-hf
omlab
10.0
onnx-community/grounding-dino-tiny-ONNX
onnx-community
10.0
openmmlab-community/mm_grounding_dino_base_all
openmmlab-community
10.0
openmmlab-community/mm_grounding_dino_base_o365v1_goldg_v3det
openmmlab-community
10.0
openmmlab-community/mm_grounding_dino_large_all
openmmlab-community
10.0
openmmlab-community/mm_grounding_dino_tiny_o365v1_goldg_grit_v3det
openmmlab-community
10.0
openmmlab-community/mm_grounding_dino_tiny_o365v1_goldg_v3det
openmmlab-community
10.0
Xenova/owlv2-base-patch16-ensemble
Xenova
10.0
Xenova/owlvit-base-patch32
Xenova
10.0

25 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Zero-shot object detection model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.