PaddleDetection

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PaddleDetection is an object detection toolkit based on PaddlePaddle, supporting object detection, instance segmentation, and multi-object tracking. It also enables real-time multi-person keypoint detection.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is PaddleDetection?

PaddleDetection is an end-to-end object detection development toolkit built on PaddlePaddle, offering a rich set of model components and benchmarks. It focuses on industrial applications by providing specialized models and tools, along with practical application examples. This toolkit helps developers streamline the entire process from data preparation and model selection to training and deployment. It supports various tasks including 2D/3D object detection, instance segmentation, face detection, keypoint detection, multi-object tracking, and semi-supervised learning. PaddleDetection also features low-code full-process development capabilities and a modular design for easy model construction.

Best used for

Ideal for data scientists who need to develop and deploy object detection models, implement instance segmentation, and perform multi-object tracking. Especially valuable for industrial applications requiring specialized models and tools for tasks like traffic sign detection, PCB defect detection, and real-time human analysis.

Common actions

develop object detection

implement instance segmentation

track multiple objects

detect keypoints

"AI Agents"face swappingopen-sourcegithub copilotautomated workflowlow-code/no-codeworkflowscollaborationdeepfake

Capabilities

Key features

Object detection
Instance segmentation
Multi-object tracking
Real-time keypoint detection
Modular design
Rich model library
Low-code development

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of object detection tasks does PaddleDetection support?

PaddleDetection supports a wide range of object detection tasks, including 2D and 3D object detection, instance segmentation, face detection, keypoint detection, multi-object tracking, and semi-supervised learning. It also offers specialized models for industrial applications like vehicle and human analysis.

Does PaddleDetection offer low-code development options?

Yes, PaddleDetection provides low-code full-process development capabilities through tools like PaddleX. This allows developers to quickly experience model effects and streamline the development, combination, and customization of models using simplified Python APIs or a graphical interface.

What kind of hardware is PaddleDetection optimized for deployment?

PaddleDetection is designed for flexible deployment across various hardware. Its PP-YOLOE models, for example, avoid special operators to ensure easy deployment on diverse hardware. It also supports deployment on NVIDIA GPUs, Kunlunxin, Ascend, Cambricon, and Hygon.

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Coding & Development › Open Source & Models Data & Analytics › Predictive Analytics Research & Education › Scientific Computing

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