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README.md

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-license: cc-by-nc-4.0
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+license: cc-by-nc-4.0
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+# 4484-People-Multi-race-Infrared-Face-Recognition-Data
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+## Description
+4,484 people multi-race – infrared face recognition data. The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The race distribution includes Asian, Black, Caucasian and Brown people. The age distribution ranges from child to the elderly, the young people and the middle aged are the majorities. The collecting device is DV-DH4,044S305AD. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as infrared face recognition. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
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+For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1490?source=huggingface
+
+## Specifications
+###  Data size
+4,484  people, 28 images for each person (RGB + IR)
+###  Population distribution
+race distribution: 2,503 Asians, 565 blacks, 683 Caucasians, 733 brown people; gender distribution:2,813 males, 1,671 females; age distribution: ranging from teenager to the elderly, the middle-aged and young people are the majorities
+###  Collecting environment
+there were 3,561 people in indoor scenes and 923 people in outdoor scenes
+###  Data diversity
+multiple age periods, multiple facial postures, multiple scenes
+###  Device
+DV-DH4,044S305AD, the resolution is 1,920*1,080
+###  Data format
+the image data format is .jpg, the camera parameter information file format is .txt
+###  Annotation content
+label the person – ID, nationality, gender, age, facial action, collecting scene
+###  Accuracy rate
+label the person – ID, nationality, gender, age, facial action, collecting scene; the accuracy of label
+
+## Licensing Information
+Commercial License
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