DeepAI AI Chat
Log In Sign Up

The 1st Tiny Object Detection Challenge:Methods and Results

by   Xuehui Yu, et al.

The 1st Tiny Object Detection (TOD) Challenge aims toencourage research in developing novel and accurate methods for tinyobject detection in images which have wide views, with a current focuson tiny person detection. The TinyPerson dataset was used for the TODChallenge and is publicly released. It has 1610 images and 72651 box-levelannotations. Around 36 participating teams from the globe competed inthe 1st TOD Challenge. In this paper, we provide a brief summary of the1st TOD Challenge including brief introductions to the top three meth-ods.The submission leaderboard will be reopened for researchers that areinterested in the TOD challenge. The benchmark dataset and other infor-mation can be found at:


VIPriors Object Detection Challenge

This paper is a brief report to our submission to the VIPriors Object De...

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

Small Object Detection (SOD) is an important machine vision topic becaus...

Active Terahertz Imaging Dataset for Concealed Object Detection

Concealed object detection in Terahertz imaging is an urgent need for pu...

Endoscopy disease detection challenge 2020

Whilst many technologies are built around endoscopy, there is a need to ...

PDIWS: Thermal Imaging Dataset for Person Detection in Intrusion Warning Systems

In this paper, we present a synthetic thermal imaging dataset for Person...

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

In this paper, we present the Multi-Forgery Detection Challenge held con...

Code Repositories


Scale Match for Tiny Person Detection(WACV2020), Official link of the dataset

view repo