# Veri Kümeleri

## Veri Kümeleri

* [🌟 Makine öğrenimi için en iyi 50 veri kümesi](https://lionbridge.ai/datasets/the-50-best-free-datasets-for-machine-learning/)

## Veri Kümeleri İndirme Araçları

Linux terminal indiricileri yazısına bakabilirsin.

* İşletim Sistemi Notları
* Linux
* ...

## Tensorflow Modelleri İçin Veriler

We provide a collection of detection models pre-trained on the [COCO dataset](http://mscoco.org), the [Kitti dataset](http://www.cvlibs.net/datasets/kitti/), the [Open Images dataset](https://github.com/openimages/dataset), the [AVA v2.1 dataset](https://research.google.com/ava/) and the [iNaturalist Species Detection Dataset](https://github.com/visipedia/inat_comp/blob/master/2017/README.md#bounding-boxes). These models can be useful for out-of-the-box inference if you are interested in categories already in those datasets. They are also useful for initializing your models when training on novel datasets.

## Linkler

* [Tensorflow Datasets](https://github.com/tensorflow/datasets)
* [Kaggle](https://www.kaggle.com)
* [ABD açık veri](https://www.data.gov/)
* [COCO](http://cocodataset.org/)
* [Open Images](https://storage.googleapis.com/openimages/web/index.html)
* [Berkeley](https://bdd-data.berkeley.edu/)
  * Email : <yoif4@alexbox.online>
  * Password: Temp1234
* [Flicker](https://www.flickr.com/)
* [Bosch Small Traffic Lights Dataset](https://hci.iwr.uni-heidelberg.de/node/6132/download/ce3ac63791d0a77612a4f8a857ec2a7b)
* [Türkçe Kelimeler](https://drive.google.com/open?id=1TOEqrRNmwJOa08F1lYgLz_HNL3WOppoA)
* [Deeplearning](http://deeplearning.net/datasets/)

### Resim Veri Kümeleri

* 🚀 [CVonline: Image Databases](http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm#language)
* [ImageNet](http://www.image-net.org/index)
  * [Stackoverflow](https://stackoverflow.com/a/48974854/9770490)
  * [Imagenet\_Utils](https://github.com/tzutalin/ImageNet_Utils)
* [Getty](https://www.gettyimages.com/)
* [Usplash](https://unsplash.com/)

### Verilerdeki Etiketi Kaldırma

Açıklamalı video için [buraya](https://www.youtube.com/watch?v=zphUGNbs4Do) tıklayabilirsin.

### Karma Veri Kümeleri

* [Trafik Işıkları](https://www.kaggle.com/mbornoe/lisa-traffic-light-dataset/version/2)

## Referanslar

* [19 Ücretsiz Veri Kümesi Sitesi](https://www.springboard.com/blog/free-public-data-sets-data-science-project/)
* [17 Finans ve Ekonomik Veri Kümesi](https://gengo.ai/datasets/17-best-finance-economic-datasets-for-machine-learning/?utm_campaign=c\&utm_medium=quora\&utm_source=rei)
* [Step by Step TensorFlow Object Detection API Tutorial — Part 1: Selecting a Model](https://medium.com/@WuStangDan/step-by-step-tensorflow-object-detection-api-tutorial-part-1-selecting-a-model-a02b6aabe39e)
* [Step by Step TensorFlow Object Detection API Tutorial — Part 2: Converting Existing Dataset to TFRecord](https://medium.com/@WuStangDan/step-by-step-tensorflow-object-detection-api-tutorial-part-2-converting-dataset-to-tfrecord-47f24be9248d)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.yemreak.com/arsiv/yapay-zeka/veri-kumeleri.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
