datasets/segment/ #8528
Replies: 9 comments 29 replies
-
That's great but how do we then check the auto annotated labels and correct them? |
Beta Was this translation helpful? Give feedback.
-
Hello, Should i train the model with negative samples? if It is yes, how should it be to labeling? |
Beta Was this translation helpful? Give feedback.
-
the file paths for custom data are still the same with detection, right? i mean i must create 2 folders that 1 for image and the other for label and inside image and label folder i continue creating train and test folder for both |
Beta Was this translation helpful? Give feedback.
-
Can I segment people in depth images acquired by LiDAR? |
Beta Was this translation helpful? Give feedback.
-
Hello, I see segmentation format for YOLOv8 as, say, |
Beta Was this translation helpful? Give feedback.
-
I have a follow up question about the dataset format. My dataset is organized as shown below. Inside some of my annotation folders, (say for example folder_1/1.txt) I have several label for different objects that belong to the same class. Here's an example 199 0.131608 0.000000 1.000000 0.869366 1.000000 1.000000 0.000000 0.000000 0.131608 0.000000 The problem is , the training code is considering those unique annotations as duplicate and removing them I get the following error message train: WARNING dataset/ What should I do in this case, and is my data structured in folder, and formatted in text correctly? Thanks! |
Beta Was this translation helpful? Give feedback.
-
Does this segmentation code also output a bounding box for target detection? If I have 20 classes, 10 of which are object detection and 10 of which are semantic segmentation, can I do it with this code? What should I do? Thank you. |
Beta Was this translation helpful? Give feedback.
-
Hello! I'm working on a project where I'm working with chest x-ray images belonging to 3 classes: Pneumonia, COVID-19, and Healthy. I wish to perform instance segmentation on my dataset so that I can identify the lungs using bounding boxes and highlight pixels WITHIN the lungs which belong to a particular class for added precision. However, the YOLO Dataset guide for Segmentation tasks specifies that it is very similar (near identical) to the Detection task. I believe the formatting looks something like this: 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: ../datasets/coco8-seg # dataset root dir Classes (80 COCO classes)names: ...77: teddy bear I have adapted this to my own dataset. The result is that the bounding boxes are pretty accurate but the segmentation mask highlights all the pixels within the box rather than highlighting the lungs (my intended motive for added precision). Is there a way we can include binary segmentation mask images in which the lungs are highlighted in white and the background is highlighted in black to guide the segmentation process and make it more accurate? I am using the yolov8n-seg.pt model for the task at hand. Thanks! |
Beta Was this translation helpful? Give feedback.
-
Hi, is it possible to train the segmentation model for objects which consist of more than 1 piece? If yes, how to construct a dataset for such a model? For my task, I need to show the model that two separated pieces are actually a part of a whole. Thanks in advance |
Beta Was this translation helpful? Give feedback.
-
datasets/segment/
Learn how Ultralytics YOLO supports various dataset formats for instance segmentation. This guide includes information on data conversions, auto-annotations, and dataset usage.
https://docs.ultralytics.com/datasets/segment/
Beta Was this translation helpful? Give feedback.
All reactions