Benchmarking CNN Architectures for Tool Classification: Evaluating CNN Performance on a Unique Dataset Generated by Novel Image Acquisition System
In this study, we introduce the ToolSurface-144 dataset, which is presented here for the first time. It comprises four subsets – Full R, Full S, Top R, and Top S – each containing 144 tool classes captured under varying illumination conditions and fields of view. A newly develo...
Saved in:
| Main Authors: | Muhenad Bilal, Ranadheer Podishetti, Daniel Grossmann, Markus Bregulla |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11017576/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CNN-Based Classification of Optically Critical Cutting Tools with Complex Geometry: New Insights for CNN-Based Classification Tasks
by: Mühenad Bilal, et al.
Published: (2025-03-01) -
World Health Organization Tool for Benchmarking Ethics Oversight of Health-Related Research with Human Participants
by: Namita Ghimire, et al.
Published: (2024-11-01) -
Vulnerability benchmark generation algorithm based on finite state machines
by: XIE Yuandong, et al.
Published: (2025-06-01) -
Domain-informed CNN architectures for downscaling regional wind forecasts
by: Alexander M. Campbell, et al.
Published: (2025-05-01) -
Improved CNN architecture for automated classification of skin diseases
by: G. Divya Deepak, et al.
Published: (2025-12-01)