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Object-Wise Just Recognizable Distortion Dataset
- Citation Author(s):
- Submitted by:
- Linwei ZHU
- Last updated:
- Tue, 11/21/2023 - 06:16
- DOI:
- 10.21227/q5fq-d638
- License:
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Abstract
Just Recognizable Distortion (JRD) refers to the minimum distortion that notably affects the recognition performance of a machine vision model. If a distortion added to images or videos falls within this JRD threshold, the degradation of the recognition performance will be unnoticeable. Based on this JRD property, it will be useful to Video Coding for Machine (VCM) to minimize the bit rate while maintaining the recognition performance of compressed images. In this study, we first construct a large image dataset of Object-Wise JRD (OW-JRD) containing 29,218 original images with 80 object categories, and each image was compressed into 64 distorted versions using Versatile Video Coding (VVC).
Dataset Files
- jsonfiles.zip (4.92 MB)
- original.7z (1.78 GB)
- distorted.7z (84.55 GB)
- OW-JRD_Model.zip (337.09 MB)
Comments
1
thanks