Add dataset QA and custom YOLO training flow
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@@ -81,6 +81,7 @@ TASK_TYPES = [
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"segmodel.metrics",
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"segmodel.copy_best",
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"yolo.train",
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"yolo.train_custom",
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"yolo.batch_train",
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"yolo.predict",
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"yolo.predict_v1",
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@@ -181,6 +182,7 @@ TASK_DEFAULTS: dict[str, dict[str, Any]] = {
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"segmodel.metrics": {},
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"segmodel.copy_best": {},
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"yolo.train": {"model": "YOLOv8n-seg"},
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"yolo.train_custom": {"data": "var/uploads/datasets/example/dataset.yaml", "model": "YOLO11n-seg", "epochs": 10, "imgsz": 640, "batch": 1, "workers": 0, "device": "cpu", "exist_ok": True},
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"yolo.batch_train": {},
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"yolo.predict": {"model": "YOLOv8n-seg", "pt_name": "best.pt", "conf": 0.2, "run_choice": 1},
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"yolo.predict_v1": {"model": "YOLOv8n-seg", "pt_name": "best.pt", "conf": 0.2, "run_choice": 1},
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