UniDetector

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UniDetector is an open-source computer vision tool that enables universal object detection. It provides code release for detecting everything in the open world, based on the CVPR 2023 paper.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is UniDetector?

UniDetector is an open-source computer vision tool designed for universal object detection, providing the code release for the CVPR 2023 paper "Detecting Everything in the Open World: Towards Universal Object Detection." Built upon mmdetection v2.18.0 and requiring CLIP, this tool facilitates both single-dataset and multi-dataset training, as well as open-world inference. It supports end-to-end and decoupled training/inference workflows, including probability calibration. UniDetector is ideal for researchers and developers working on advanced object detection tasks, offering robust capabilities for preparing datasets, language CLIP embeddings, and pre-trained RegionCLIP parameters.

Best used for

Ideal for data scientists and developers who need to implement universal object detection, train models on single or multiple datasets, and perform open-world inference. Especially valuable for computer vision research and development, providing a robust framework for advanced object detection tasks.

Common actions

detect objects

train models

perform inference

prepare datasets

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Capabilities

Key features

Universal object detection
End-to-end training
Decoupled training
Open-world inference
Probability calibration
CLIP embeddings preparation

Target Audience

data scientistdeveloper

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the core dependencies for UniDetector?

UniDetector is built on mmdetection v2.18.0 and requires CLIP for its functionalities. Users need to ensure these dependencies are properly installed and configured to run the provided code and models effectively.

Does UniDetector support multi-dataset training?

Yes, UniDetector supports multi-dataset training. The project provides specific configuration files under the `configs/multidataset/` directory for training with combinations like Objects365 and COCO, or OpenImages, Objects365, and COCO.

How does UniDetector handle open-world inference?

UniDetector facilitates open-world inference through both end-to-end and decoupled approaches. It allows evaluation on datasets like LVIS v0.5 and includes options for inference with probability calibration to refine detection results.

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This tool also appears in

Coding & Development › Open Source & Models Research & Education › Scientific Computing

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