62 | | [[Image()]] |
| 62 | [[Image(yolo detect.gif)]] |
| 63 | * We also ran the segmentation model which outlines the precise figures that are detected. These points can be used in the future to separate the objects in the point clouds. |
| 64 | [[Image(yolo segment.gif)]] |
| 65 | * We were requested to add to the model so that it can detect the DIY cars that other groups were building, so we took 19 images and labeled them with the shapes of the cars. |
| 66 | [[Image(manual label.png)]] |
| 67 | * We were able to deploy this model on the Ultralytics Hub mobile app for real-time detection, and it was very accurate, however had many false positives when no cars were in the area. |
| 68 | [[Image(detected car.png)]] |
| 69 | * This model was extremely slow both on the phone and in t |