Scam Detection on VidScam
92.82AccuracyVidScamNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| VidScamNetModel=Llava-Video-7B, Training Data=Video Frames, Title, Description, Reasoning2025.09 | 92.82 | 76.16 | 91.09 | 82.96 | — | |
| VidScamNet2025.09 | 92.82 | 76.16 | 91.09 | 82.96 | 1 | |
| Llava-Video-7BTraining Data=Video Frames2025.09 | 91.88 | 76.81 | 82.63 | 79.61 | — | |
| Llava-Video-7BTraining Data=Video Frames, Title, Description2025.09 | 91.45 | 71.36 | 92.65 | 80.62 | — | |
| Llava-Video-7BTraining Data=Video Frames, Transcription2025.09 | 91.11 | 71.33 | 89.76 | 79.49 | — | |
| 3Layer NNTraining Data=Title, Description, Transcription2025.09 | 90.94 | 74.43 | 80.4 | 77.3 | — | |
| BertTraining Data=Title, Description, Transcription2025.09 | 90.68 | 71.35 | 85.97 | 77.98 | — | |
| RF2025.09 | 90.59 | 81.36 | 66.14 | 72.97 | 38 | |
| BertTraining Data=Title, Description2025.09 | 90.21 | 70.75 | 83.52 | 76.61 | — | |
| 3Layer NNTraining Data=Title, Description2025.09 | 88.2 | 64.64 | 85.08 | 73.46 | — | |
| BertTraining Data=Transcription2025.09 | 87.99 | 65.38 | 79.51 | 71.76 | — | |
| Adaboost2025.09 | 87.98 | 66.34 | 75.94 | 70.82 | 22 | |
| 3Layer NNTraining Data=Transcription2025.09 | 86.15 | 62.14 | 71.21 | 66.39 | — | |
| SVC2025.09 | 84.35 | 56.02 | 85.96 | 67.83 | 12 |