# What is wrong with my training process **URL:** \ **Category:** Discussion\ **Tags:** discussion, troubleshooting, question, yolo, support\ **Created:** [November 18, 2025, 3:25am UTC](https://community.ultralytics.com/t/what-is-wrong-with-my-training-process/1639 "2025-11-18T03:25:29Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![Robey](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/robey/32/1134_2.png) [@Robey](https://community.ultralytics.com/u/Robey)\ **Post date:** [November 18, 2025, 3:25am UTC](https://community.ultralytics.com/t/what-is-wrong-with-my-training-process/1639/1 "2025-11-18T03:25:29Z")
Hi. I am trying to train a yolo11n.pt model (pose), to recognize archery objects. Here is my yaml file: ———————————————————————————————————————————————————————- # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] path: C:path/to/my/dataset train: images\train val: images\val # Classes names: 0: target 1: arrow # Keypoint names per class kpt\_names: 0: ``` - target_center - target_edge - target_tl - target_tr - target_br - target_bl ``` 1: ``` - arrow_tip ``` ———————————————————————————————————————————————————————- As you can see, I have 6 keypoints for the target class, and 1 keypoint for the arrow class. However, I am unable to train the model because I keep running into a Runtime Error when running Ultralytic’s model.train function: ———————————————————————————————————————————————————————- Load a model model = YOLO(“yolo11n.pt”) # load a pretrained model (recommended for training) results = model.train(data=r"C:\Users\eusro\OneDrive\Documents\IIT 25-26\IPRO\dataset\archery.yaml", epochs=20, imgsz=640) ———————————————————————————————————————————————————————- And then i run into this error: ———————————————————————————————————————————————————————- ”RuntimeError: No valid images found in C:\Users\eusro\OneDrive\Documents\IIT 25-26\IPRO\dataset\labels\train.cache. Images with incorrectly formatted labels are ignored. See [Datasets Overview - Ultralytics YOLO Docs](https://docs.ultralytics.com/datasets) for dataset formatting guidance.” ———————————————————————————————————————————————————————- Specifically: ———————————————————————————————————————————————————————- ”train: C:\path\to\images: ignoring corrupt image/label: non-normalized or out of bounds coordinates [1.053512 1.0485466 1.892976 1.902907 2. 2. 2. 2. 2. ]” ———————————————————————————————————————————————————————- This is confusing to me since all of my text files all have normalized coordinates. I’m not sure how the model is getting those coordinates. Here is the sample yolo label text file that corresponds to the error above: ———————————————————————————————————————————————————————- 0 0.362630 0.525484 0.529948 0.911458 0.370027 0.544883 2 0.587498 0.527979 2 0.107532 0.097093 2 0.617953 0.107024 2 0.597141 0.940561 2 0.128101 0.967067 2 1 0.340124 0.778608 0.090543 0.442784 0.305588 0.569652 2 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 1 0.363084 0.747076 0.091397 0.417638 0.325334 0.550051 2 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 1 0.407764 0.755879 0.099487 0.480326 0.367684 0.530702 2 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 1 0.415974 0.797873 0.113680 0.404254 0.368660 0.614166 2 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 1 0.447964 0.849701 0.112273 0.300599 0.404608 0.707333 2 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 0.000000 0.000000 0 ———————————————————————————————————————————————————————- Notice, how I’ve zero-padded the arrow objects since most sources say that the model expects all objects to have the same number of keypoints. I’ve followed the format for the yolo labels that ultralytics has on the official website, Any help is much appreciated ---
**Author:** ![Toxite](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/toxite/32/123_2.png) [@Toxite](https://community.ultralytics.com/u/Toxite)\ **Post date:** [November 18, 2025, 4:28am UTC](https://community.ultralytics.com/t/what-is-wrong-with-my-training-process/1639/3 "2025-11-18T04:28:59Z")
Your YAML file is missing `kpt_shape` > **[Pose Estimation Datasets Overview](https://docs.ultralytics.com/datasets/pose/#dataset-yaml-format)** > > Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset. ---
**Author:** ![Robey](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/robey/32/1134_2.png) [@Robey](https://community.ultralytics.com/u/Robey)\ **Post date:** [November 18, 2025, 5:04am UTC](https://community.ultralytics.com/t/what-is-wrong-with-my-training-process/1639/4 "2025-11-18T05:04:59Z")
Hi, thanks for the reply, I added the kpt\_shape, [6,3], since the max number of keypoints per object is 6. But i’m still encountering the Runtime Error where the model is still recognizing out of bounds coordinates? ---
**Author:** ![Toxite](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/toxite/32/123_2.png) [@Toxite](https://community.ultralytics.com/u/Toxite)\ **Post date:** [November 18, 2025, 8:53am UTC](https://community.ultralytics.com/t/what-is-wrong-with-my-training-process/1639/5 "2025-11-18T08:53:22Z")
Did try deleting `*.cache` files in the `labels` folder? ---
**Author:** ![Toxite](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/toxite/32/123_2.png) [@Toxite](https://community.ultralytics.com/u/Toxite)\ **Post date:** [November 18, 2025, 8:54am UTC](https://community.ultralytics.com/t/what-is-wrong-with-my-training-process/1639/6 "2025-11-18T08:54:13Z")
You’re using the wrong model > model = YOLO(“yolo11n.pt”) `yolo11n.pt` is for object detection. You should be using `yolo11n-pose.pt`