Comparing Human and Machine Bias in Face Recognition
Key Notes
- Disparities between groups of people based on perceived gender, skin type, lighting condition
- poor light exposure, blurriness, facial obstruction
A survey on bias in visual datasets
- Selection bias is the type of bias that “occurs when individuals or groups differ systematically from the population of interest
- We refer to framing bias as any associations or disparities that can be used to convey different messages and/or that can be traced back to the way in which the visual content has been composed.
- We define label bias as any errors in the labelling of visual data, with respect to some ground truth, or the use of poorly defined or inappropriate semantic categories.
Keep Checking!!!
No comments:
Post a Comment