---
title: "Master Deep Block: Tutorials, Tools, and Applications | Deep Block"
description: Build your AI without Coding! Master the ins and outs of Deep Block with our comprehensive knowledge base. From data preparation to model training and evaluation, our platform empowers you to create and deploy cutting-edge AI solutions.
image: https://www.deepblock.net/hubfs/Blog%20Components/The%20similarities%20between%20satellite%20and%20micrograph%20imagery%20analysis250-min.png
---

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Manual

## Deep Block

Welcome to Deep Block. You will find our knowledge base where you can master all the ins and outs of our Deep Block platform. 

### Get Started

<https://www.deepblock.net/product/manual/create-an-account?hsLang=en>[Create your first project](https://www.deepblock.net/product/manual/create-your-first-project?hsLang=en)

[Learn How to Use DEEP TREK Systems](https://www.deepblock.net/product/manual/deep-trek?hsLang=en)

### Data Preparation

[Master the labeling tool](https://www.deepblock.net/product/manual/mastering-the-data-labeling-tool?hsLang=en)

[How to upload COCOJSON in Deep Block](https://www.deepblock.net/product/manual/upload-cocojson?hsLang=en)<https://www.deepblock.net/product/manual/export-geojson?hsLang=en>

### Training

[Setting an epoch value](https://www.deepblock.net/product/manual/optimal-training-epoch?hsLang=en)

[Training AI Models with Few Annotations](https://www.deepblock.net/blog/training-with-few-annotations?hsLang=en)

### Inference

<https://www.deepblock.net/product/manual/geojson?hsLang=en>

<https://www.deepblock.net/api?hsLang=en>[How to divide LARGE images for inference](https://www.deepblock.net/product/manual/how-to-divide-large-images-for-inference?hsLang=en)

[Perform more accurate inference on large-scale images using Deep Block’s proprietary algorithms](https://www.deepblock.net/blog/deep-block-algorithm-for-large-scale-images?hsLang=en)

[Optimizing Machine Learning Models with Trial and Error](https://www.deepblock.net/blog/trial-and-error?hsLang=en)

[Using Deep Block and GEOJSON with GIS Software](https://www.deepblock.net/blog/deep-block-with-gis-software?hsLang=en)<https://www.deepblock.net/manual/how-to-divide-large-images-for-inference?hsLang=en><https://www.deepblock.net/api?hsLang=en>

### Platform

[How to use TRAINED models](https://www.deepblock.net/product/manual/learn-how-to-fork-from-project-store?hsLang=en)<https://support.deepblock.net/api>

[Segment AERIAL Photos with an AI Model Trained on DRONE Photos](https://www.deepblock.net/blog/segment-aerial-photos-with-an-ai-model-trained-on-drone-photos?hsLang=en)

[Share with the community](https://www.deepblock.net/product/manual/community?hsLang=en)<https://support.deepblock.net/api>

### Applications<https://support.deepblock.net/application-store>

Computer Vision > Custom detector builder

- [Image segmentation](https://www.deepblock.net/product/manual/image-segmentation?hsLang=en)
- [Object detection](https://www.deepblock.net/product/manual/object-detection?hsLang=en)
- [Change detection](https://www.deepblock.net/product/manual/change-detection?hsLang=en)

Tools

## AI Tools

Discover the vast array of computer vision tools offered by Deep Block.

- [![Object Detection Videos](https://www.deepblock.net/hs-fs/hubfs/Website%20Images/Deep%20Block_Smart%20systems_AI-min.png?width=740&height=584&name=Deep%20Block_Smart%20systems_AI-min.png) **Object Detection**](https://www.youtube.com/watch?v=K2l2ExVNkCI&list=PLHENimiXI7OE70dj0QW9uCL3L-KmVHCkk)
- [![Deep Block_How to train accurate AI models for Building Segmentation](https://www.deepblock.net/hs-fs/hubfs/Blog%20Components/Deep%20Block_How%20to%20train%20accurate%20AI%20models%20for%20Building%20Segmentation.png?width=1000&height=1000&name=Deep%20Block_How%20to%20train%20accurate%20AI%20models%20for%20Building%20Segmentation.png) **Image Segmentation**](https://www.youtube.com/watch?v=r-RNt73Ipk0&list=PLHENimiXI7OG1Tt12Mc4GN1t8tAXV6fmU)
- [![서울특별시 변화 영역 탐지-1](https://www.deepblock.net/hs-fs/hubfs/%EC%84%9C%EC%9A%B8%ED%8A%B9%EB%B3%84%EC%8B%9C%20%EB%B3%80%ED%99%94%20%EC%98%81%EC%97%AD%20%ED%83%90%EC%A7%80-1.png?width=1043&height=789&name=%EC%84%9C%EC%9A%B8%ED%8A%B9%EB%B3%84%EC%8B%9C%20%EB%B3%80%ED%99%94%20%EC%98%81%EC%97%AD%20%ED%83%90%EC%A7%80-1.png) **Image Comparison** **Change Detection**](https://www.youtube.com/watch?v=VswWeWz01TQ&list=PLHENimiXI7OFoSLBjPUNpkyNkucRlo4x2)

## FAQ

###### What kind of images can I upload and label with Deep Block?

Deep Block supports the following image file formats: **png, j2k, jpg, geotiff, tiff, bmp,** and **jp2**.

###### What is the maximum size image I can upload?

Deep Block supports high-resolution files up to **40GB per EACH**. There is no limit to the number of images you can upload to Deep Block.  
[Contact Us](https://www.deepblock.net/contact?hsLang=en) if you need to want to upload a larger image file.

###### How many annotations shall I need to train my own model?

The number of annotations needed to train an AI model depends on various factors, such as:

- the complexity of the problem
- the type and quality of data
- the algorithms used 

In general, the more annotations you have, the better the performance of the AI model will be.

For instance, image classification models might require at least thousands of labeled images to achieve high accuracy. Object detection models might need hundreds to thousands of labeled images, depending on the complexity and variability of the objects to be detected. Image segmentation models typically require pixel-level annotations for a smaller set of images. (at least a few hundred for each class)

In any case, it is important to ensure that the annotations are accurate, consistent, and representative of the real-world data to avoid bias and improve the robustness of the AI model. The number of annotations needed to achieve this will depend on the specific use case and the quality standards required.

As a good practice, it is better to test-train your model progressively and validate its performances. If you have any doubt, feel free to [contact us](mailto:support@deepblock.net) directly.

###### What is the difference between public projects and shared projects?

Deep Block enables its users to share projects among themselves.

- **Shared projects**: Users can share their projects privately with other users directly and invite them to collaborate.
- **Project Store**: Users can upload their projects to the Project Store for others to use.
- **Public projects**: Users can make their project public so that other users may offer their help to complete it.

Therefore, the main difference between shared projects and public projects is the willingness to either work in a small private circle or in a more open environment with other Deep Block users.

###### How can I export my projects?

You can export your inference output of Deep Block directly in a COCO JSON format. You can also use the ***Deep Block API*** to integrate directly with your applications. [Contact us](https://www.deepblock.net/contact?hsLang=en) if you want a trained model with weights in a file format.

###### How much does Deep Block cost?

You can [choose a plan](https://www.deepblock.net/product/pricing?hsLang=en) depending on your computational needs. Or [contact us](https://www.deepblock.net/contact?hsLang=en) for enterprise license. 

###### What should I do when an error occurs?

If an error occurs, try refreshing the web page, restarting your browser, or rebooting the server or workstation.  
If this does not resolve any issues, please [contact us](https://www.deepblock.net/contact?hsLang=en).

CONTACT

## Can we help you?

Feel free to contact Deep Block's support team for your AI training needs.

Ready to come on board? You can [talk to sales](https://www.deepblock.net/contact?hsLang=en).

[![Deep Block Logo White](https://www.deepblock.net/hubfs/Deep%20Block%20Logo%20White.svg)](https://www.deepblock.net?hsLang=en)

Deep Block is a NO CODE AI-powered platform where you can create and use AI models without any of the frustration of coding. Deep Block allows you to use a library of pre-trained models but also lets anyone train their own AI data sets, no expertise required.

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