HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Add Data Collection and Annotation Docs Page and Preprocessing Annotated Data Docs Page (#13253)

Browse source
This commit is contained in:
Abirami Vina 2024-05-31 12:55:47 +05:30 • committed by GitHub
parent cbcb494cfc
commit bac868c635
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 325 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/guides/steps-of-a-cv-project.md
View file

@ -87,7 +87,7 @@ However, if you choose to collect images or take your own pictures, you’ll nee
<img width="100%" src="https://miro.medium.com/v2/resize:fit:1400/format:webp/0*VhpVAAJnvq5ZE_pv" alt="Different Types of Image Annotation">
</p>
Data annotation can be a time-consuming manual effort. Annotation tools can help make this process easier. Here are some useful open annotation tools: [LabeI Studio](https://github.com/HumanSignal/label-studio), [CVAT](https://github.com/cvat-ai/cvat), and [Labelme](https://github.com/labelmeai/labelme).
[Data collection and annotation](./data-collection-and-annotation.md) can be a time-consuming manual effort. Annotation tools can help make this process easier. Here are some useful open annotation tools: [LabeI Studio](https://github.com/HumanSignal/label-studio), [CVAT](https://github.com/cvat-ai/cvat), and [Labelme](https://github.com/labelmeai/labelme).
## Step 3: Data Augmentation and Splitting Your Dataset
@ -113,7 +113,7 @@ To understand your data better, you can use tools like [Matplotlib](https://matp
<img width="100%" src="https://github.com/ultralytics/ultralytics/assets/15766192/feb1fe05-58c5-4173-a9ff-e611e3bba3d0" alt="The Ultralytics Explorer Tool">
</p>
By properly understanding, splitting, and augmenting your data, you can develop a well-trained, validated, and tested model that performs well in real-world applications.
By properly [understanding, splitting, and augmenting your data](./preprocessing_annotated_data.md), you can develop a well-trained, validated, and tested model that performs well in real-world applications.
## Step 4: Model Training