Datasets:
| # Game classifier — eval report | |
| - Checkpoint: `models/models/game_classifier_mobilenet_v3_small.pt` | |
| - Frames evaluated: 450 | |
| - Mean inference latency: 7.53 ms/frame | |
| - **Accuracy: 1.0000** | |
| ## Per-class | |
| | Class | Precision | Recall | F1 | Support | | |
| |---|---|---|---|---| | |
| | cs2 | 1.0000 | 1.0000 | 1.0000 | 150 | | |
| | dota2 | 1.0000 | 1.0000 | 1.0000 | 150 | | |
| | valorant | 1.0000 | 1.0000 | 1.0000 | 150 | | |
| ## Confusion matrix | |
| Rows = true class, columns = predicted class. | |
| | | cs2 | dota2 | valorant | | |
| |---|---|---|---| | |
| | **cs2** | 150 | 0 | 0 | | |
| | **dota2** | 0 | 150 | 0 | | |
| | **valorant** | 0 | 0 | 150 | | |