Sharbie/face_recognition_EmoAI
Updated
Dataset Card for Nexdata/MOccluded_and_Multi-pose_Face_Recognition_Data
Dataset Summary
1,930 People with Occlusion and Multi-pose Face Recognition Data, for each subject, 200 images were collected. The 200 images includes 4 kinds of light conditions * 10 kinds of occlusion cases (including non-occluded case) * 5 kinds of face pose. This data can be applied to computer vision tasks such as occluded face detection and recognition.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1073?source=Huggingface
Supported Tasks and Leaderboards
face-detection, computer-vision: The dataset can be used to train a model for face detection.
Languages
English
Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing
Citation Information
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Contributions
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Homepage:
nexdata.ai
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Size of downloaded dataset files:
3.8 MB
Size of the auto-converted Parquet files:
3.81 MB
Number of rows:
1
Models trained or fine-tuned on Nexdata/Occluded_and_Multi-pose_Face_Recognition_Data