arXiv
Open Access
2023
Classification for everyone : Building geography agnostic models for fairer recognition
Akshat Jindal
Shreya Singh
Soham Gadgil
Abstrak
In this paper, we analyze different methods to mitigate inherent geographical biases present in state of the art image classification models. We first quantitatively present this bias in two datasets - The Dollar Street Dataset and ImageNet, using images with location information. We then present different methods which can be employed to reduce this bias. Finally, we analyze the effectiveness of the different techniques on making these models more robust to geographical locations of the images.
Penulis (3)
A
Akshat Jindal
S
Shreya Singh
S
Soham Gadgil
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓