> For the complete documentation index, see [llms.txt](https://docs.binaexperts.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.binaexperts.com/datasets/uploading-data.md).

# Uploading Data

Uploading Data in BinaExperts.

**Using the Web Interface (Best for ≤1000 Images)**

**Upload Data via the Web Interface**

To upload data, you need to have a project. If you haven’t created one yet, start by creating a project. During the project creation process, you will be prompted to upload images.

If you already have a project, simply click "Upload" in the project sidebar to add more images.

Supported Data Types

[**BinaExperts**](https://binaexperts.com/en) **supports the following data formats:**

***Images:*** JPG, PNG, WEBP, and BMP

***Videos:*** MOV and MP4

***Data formatted for classification, object detection, segmentation, and keypoint detection in any supported format.***

<figure><img src="https://1703512193-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FHyQ97PzHJLIjjc4Xnm9y%2Fuploads%2F0WoP50taVu3nsSK5l2Rx%2Fimage.png?alt=media&amp;token=296395d5-cae1-4807-ae38-22f1878436e9" alt=""><figcaption><p><a href="https://binaexperts.com/en">BinaExperts</a> <strong>supports</strong> various <strong>data formats</strong></p></figcaption></figure>

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**Accessing Public Datasets**

[BinaExperts Hub](https://binaexperts.com/en/hub) offers a repository of over 10,000 datasets covering tasks like object detection, classification, and segmentation. You can use the Hub to find datasets for training the initial version of a model or for fine-tuning an existing model.