Nexdata at CVPR2022

With the rapid development of AI technology, datasets has become a core factor of improving intelligent system’s performance. The variety and accuracy of datasets determine the learning ability and execution effect of AI models. In the progress of training intelligent system, large amount of datasets from real world are indispensable resources. Collecting and labeling data scientifically can help AI models gain accurate results in real applications, reduce the rate of misjudgment, and improve user experience and system efficiency.

Today marks the start of the 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022), it’s a knowledge festival exclusively made for professionals and researchers in CV domains, the premier event has been started on June 21 and will be ended in June 24, you can join the conference either online or offline.

There are 250 presentations, covering topics of Segmentation, Grouping and Shape Analysis, 3D From Single Images, Low-Level Vision, Behavior Analysis, Vision Applications & Systems, Machine Learning. Alongside of the main conference.

Alongside of the main conference, 66 workshops and 29 tutorials have been setup and hosted, ready to share the most cutting edge and innovated research.

As a leader in computer vision service provider and a silver Level Sponsor of CVPR2022, Nexdata is having a strong presence here.

If you are participating in CVPR this year, do come and stop by to say hello! Check out the map here to find us:

To celebrate CVPR2022, Nexdata have prepared $200,000 worth of Dataset for 400 random picked booth visitors and social media followers.

Here is the detailed description of our dataset:

1. 100 People 3D Living_Face & Anti_Spoofing Dataset

Description:

This dataset is composed of 100 people, 168 images for each person, 50 males, 50 females; various facial expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes are included, and annotated with label the person ID, race, gender, age, facial action, collecting scene, light condition.

Full Dataset: https://www.nexdata.ai/datasets/1089

2. 100 People 2D Living_Face &Anti_Spoofing Dataset

Description:

This dataset is composed of 100 people, various facial expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes are included, and annotated with the person ID, race, gender, age, facial action, collecting scene, light condition etc.

For the full dataset: https://www.nexdata.ai/datasets/971

3. 200 People Re-Id Dataset in Real Surveillance Scenes

Description:

This dataset is composed of 200 people, 15–22 images per person; including indoor and outdoor scenes (such as supermarket, mall and residential area, etc.) different ages, different time periods, different cameras, different human body orientations and postures, different ages collecting environment.

For the full dataset: https://www.nexdata.ai/datasets/1160

4. 200 People Re-Id Collection Dataset In Surveillance Scenes

Description:

This dataset is composed of 200 people, the gender distribution is male and female, the age distribution is from children to the elderly, labeled for human body rectangular bounding boxes, 15 human body attributes; label the subject’s gender, age, race, collecting scenes, clothing categories, camera ID, camera height

For the full dataset: https://www.nexdata.ai/datasets/1129

5. People 3D Liveness Detection Dataset

Description:

This dataset is composed of 5 people, 126 groups (282 images) for each person, all Chinese, covered multiple facial postures, 3D mask anti-spoofing samples, multiple light conditions, multiple scenes, labeled for the person ID, race, gender, age, facial action, anti-spoofing type, light condition

For the full dataset: https://www.nexdata.ai/datasets/1172

In the future, data-driven intelligence will profoundly change all industries operation system. To make sure the long-term development of AI technology, high-quality datasets will remain an indispensable basic resource. By continuously optimizing data collection technology, and developing more sophisticated datasets, AI systems will bring more opportunities and challenges for all walks of life.