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FSOD

Few-Shot Object Detection Dataset

Introduced in Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector2019

About this Dataset

Few-Shot Object Detection Dataset (FSOD) is a high-diverse dataset specifically designed for few-shot object detection and intrinsically designed to evaluate thegenerality of a model on novel categories.

Source: FSOD

Source: Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Dataset Variants

FSOD

Papers1

Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

A novel few-shot object detection network that aims at detecting objects of unseen categories with only a few annotated examples, which exploits the similarity between the few shot support set and query set to detect novel objects while suppressing false detection in the background.

Dataset Loaders

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fanq15/Few-Shot-Object-Detection-Dataset

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Tasks

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Object Detection Few-Shot Object Detection Object Counting

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