The proper JSON structure for labeling typically depends on the task (e.g., object detection, segmentation, etc.) and the framework you're using. For example, in Ultralytics and many other computer vision tasks, JSON often includes key-value pairs to define image metadata and annotations. A common structure includes: 1. Image metadata: File name, dimensions, etc. 2. Annotations: Object classes, bounding box coordinates, and other details like segmentation masks or keypoints. For object detection, JSON might look like: ```json { "images": [ { "file_name": "image1.jpg", "height": 720, "width": 1280, "annotations": [ { "class_id": 1, "bbox": [x, y, width, height] } ] } ] } ``` For more specific details on JSON structures for tasks like segmentation, keypoint detection, or multi-modal models, refer to Ultralytics' documentation here www.ultralytics.com/glossary/json or check the code reference for `get_json` here docs.ultralytics.com/reference/data/utils/.
@@Ultralytics I see, but can you guys give me a working project where I can just swap the photos out? What will I need to do the automatic labeling that works with it?
Great question! To start with a working project, you can use Ultralytics HUB, which provides pre-set workflows where you can easily swap your images into existing datasets for training. Check it out here: Ultralytics HUB Quickstart docs.ultralytics.com/hub/quickstart/. 🚀 For automatic labeling, tools like Label Studio github.com/HumanSignal/label-studio or Roboflow docs.ultralytics.com/integrations/roboflow/ can simplify the process. You can also integrate models like YOLO for pseudo-labeling your images. For more details on managing datasets and annotations, visit: Data Collection and Annotation docs.ultralytics.com/guides/data-collection-and-annotation/. Happy building! 🌟
Thank you for reporting the issue on GitHub! Our team actively monitors the repository and will address it as soon as possible. Meanwhile, if you need further assistance, feel free to check the Ultralytics Help Center docs.ultralytics.com/help/ or the common issues guide docs.ultralytics.com/guides/yolo-common-issues/ for potential quick fixes. We appreciate your patience! 😊
What is the proper json structure to label?
The proper JSON structure for labeling typically depends on the task (e.g., object detection, segmentation, etc.) and the framework you're using. For example, in Ultralytics and many other computer vision tasks, JSON often includes key-value pairs to define image metadata and annotations.
A common structure includes:
1. Image metadata: File name, dimensions, etc.
2. Annotations: Object classes, bounding box coordinates, and other details like segmentation masks or keypoints.
For object detection, JSON might look like:
```json
{
"images": [
{
"file_name": "image1.jpg",
"height": 720,
"width": 1280,
"annotations": [
{
"class_id": 1,
"bbox": [x, y, width, height]
}
]
}
]
}
```
For more specific details on JSON structures for tasks like segmentation, keypoint detection, or multi-modal models, refer to Ultralytics' documentation here www.ultralytics.com/glossary/json or check the code reference for `get_json` here docs.ultralytics.com/reference/data/utils/.
@@Ultralytics I see, but can you guys give me a working project where I can just swap the photos out?
What will I need to do the automatic labeling that works with it?
Great question! To start with a working project, you can use Ultralytics HUB, which provides pre-set workflows where you can easily swap your images into existing datasets for training. Check it out here: Ultralytics HUB Quickstart docs.ultralytics.com/hub/quickstart/. 🚀
For automatic labeling, tools like Label Studio github.com/HumanSignal/label-studio or Roboflow docs.ultralytics.com/integrations/roboflow/ can simplify the process. You can also integrate models like YOLO for pseudo-labeling your images. For more details on managing datasets and annotations, visit: Data Collection and Annotation docs.ultralytics.com/guides/data-collection-and-annotation/.
Happy building! 🌟
@@Ultralytics I did go there but it does not work. I've already put a bug report in the Ultralytics GitHub area.
Thank you for reporting the issue on GitHub! Our team actively monitors the repository and will address it as soon as possible. Meanwhile, if you need further assistance, feel free to check the Ultralytics Help Center docs.ultralytics.com/help/ or the common issues guide docs.ultralytics.com/guides/yolo-common-issues/ for potential quick fixes. We appreciate your patience! 😊