feat: add counting bench, triage, and dataset modules

This commit includes major additions and updates to the frontend and backend architectures, introducing new dataset management, live counting features, batch processing, and triage logic. Includes new UI pages, components, and API routes.

backend/api/models.py

@@ -20,6 +20,8 @@ class TrainRequest(BaseModel):
     device: Optional[Union[int, str]] = None
     batch_ids: Optional[list] = None
     class_ids: Optional[list] = None
+    dataset_ids: Optional[list] = None
+    base_dataset_ids: Optional[list] = None
 
 
 @router.get("/api/hardware")
@@ -36,6 +38,8 @@ def start_training(project_id: int, request: TrainRequest) -> dict:
             {"batch": request.batch, "imgsz": request.imgsz, "device": request.device},
             batch_ids=request.batch_ids,
             class_ids=request.class_ids,
+            dataset_ids=request.dataset_ids,
+            base_dataset_ids=request.base_dataset_ids,
         )
     except training.TrainingError as exc:
         raise HTTPException(400, str(exc))