300w

displayName: 300-W
labelTypes:
- Points2D
license:
- 300w Custom
mediaTypes:
- Image
paperUrl: https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_iccv_2013_300_w.pdf
publishDate: "2013"
publishUrl: https://ibug.doc.ic.ac.uk/resources/300-W/
publisher:
- Imperial College London
tags:
- Human face
taskTypes:
- Keypoints 2D

---
# 数据集介绍
## 简介
300-W 是一个人脸数据集，由 300 张室内和 300 张室外野外图像组成。它涵盖了身份、表情、照明条件、姿势、遮挡和面部大小的大量变化。这些图片是通过查询“派对”、“会议”、“抗议”、“足球”和“名人”等从 google.com 下载的。与其他野外数据集相比，300-W 数据库包含更大比例的部分遮挡图像，并且涵盖的表情比常见的“中性”或“微笑”（例如“惊喜”或“尖叫”）更多.使用半自动方法用 68 点标记对图像进行注释。数据库中的图像经过精心挑选，因此它们代表了在完全不受约束的条件下具有挑战性但自然的人脸实例的特征样本。因此，在 300-W 数据库上实现准确性能的方法可以在大多数实际情况下展示相同的准确度。数据库中的许多图像包含不止一张带注释的人脸（293 张带有 1 张人脸的图像，53 张带有 2 张人脸的图像和 53 张带有 [3, 7] 人脸的图像）。因此，该数据库包含 600 个带注释的人脸实例，但包含 399 个独特的图像。最后，有各种各样的脸型。具体来说，49.3% 的人脸大小在 [48.6k, 2.0M] 范围内，整体平均大小为 85k（约 292 × 292）像素。

## Download dataset
:modelscope-code[]{type="git"}

displayName: 300-W
labelTypes:
- Points2D
license:
- 300w Custom
mediaTypes:
- Image
paperUrl: https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_iccv_2013_300_w.pdf
publishDate: "2013"
publishUrl: https://ibug.doc.ic.ac.uk/resources/300-W/
publisher:
- Imperial College London
tags:
- Human face
taskTypes:
- Keypoints 2D

---
# Dataset Introduction
## Overview
300-W is a facial dataset consisting of 300 indoor and 300 outdoor in-the-wild images. It covers extensive variations in identity, expression, lighting conditions, pose, occlusion, and facial size. These images were downloaded from google.com via queries such as "party", "meeting", "protest", "soccer", and "celebrity". Compared to other in-the-wild datasets, the 300-W database contains a larger proportion of partially occluded images and covers a wider range of expressions beyond the common "neutral" or "smiling" (e.g., "surprised" or "screaming"). Images were annotated with 68-point landmarks using a semi-automatic method. The images in the database were carefully selected to represent a characteristic sample of challenging yet natural facial instances under fully unconstrained conditions. As a result, methods that achieve accurate performance on the 300-W database can demonstrate comparable accuracy in most real-world scenarios. Many images in the database contain more than one annotated face: 293 images with 1 face, 53 images with 2 faces, and 53 images with 3 to 7 faces. Accordingly, the database contains 600 annotated facial instances across 399 unique images. Finally, there is a wide variety of face shapes. Specifically, 49.3% of the faces have sizes within the range [48.6k, 2.0M], with an overall average size of 85k pixels (approximately 292 × 292 pixels).

## Download Dataset
:modelscope-code[]{type="git"}

搜集汇总

背景与挑战

背景概述

300-W是一个人脸数据集，包含600张室内外图像，覆盖身份、表情、光照、姿态和遮挡等多种变化，特别注重部分遮挡和丰富表情的挑战性实例。图像使用68点关键点标注，包含多个人脸实例，适用于评估人脸算法在无约束真实场景中的性能。