Model for STEM 2D Image class¶
- Description: This is a benchmark to evaluate how accurately an AI image classification model can classify a Scanning transmission electron microscopy (STEM) image into a corresponding 2D bravais lattice. Here we use accuracy (ACC) of the image classification as a metric. External links: https://pubs.acs.org/doi/10.1021/acs.jcim.2c01533
Reference(s): https://arxiv.org/abs/2212.02586, https://doi.org/10.1021/acs.jcim.2c01533
Model benchmarks
| Model name | Dataset | Accuracy | Team name | Dataset size | Date submitted | Notes |
|---|---|---|---|---|---|---|
| densenet_model | stem_2d_image | 0.8304 | JARVIS | 9150 | 01-14-2023 | CSV, JSON, run.sh, Info |
| resnet_model | stem_2d_image | 0.2924 | JARVIS | 9150 | 01-14-2023 | CSV, JSON, run.sh, Info |