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Related Objects of Interest: # citation , # description , # introduction , # requirements , - `tqdm` , [![doi](https://zenodo.org/badge/186122711.svg)](https://zenodo.org/badge/latestdoi/186122711) , python 3.7 or later with the following `pip3 install -u -r requirements.txt` packages: , the https://github.com/ultralytics/coco2yolo repo contains code to convert json datasets into yolo (darknet) format. the code works on linux, macos and windows. , this directory contains software developed by ultralytics llc, and **is freely available for redistribution under the gpl-3.0 license**. for more information please visit https://www.ultralytics.com. , - `numpy`
Top Https Datasets and Models
The datasets below can be used to train fine-tuned models for https detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the https datasets below.
120 images 70 classes
118 images 71 classes
1.5k images 2 classes 1 model
178 images 178 classes
https:--flickr-com-64583732@N04-15883301249 https:--www-flickr-com-photos-10413717@N08-3824753148 https:--www-flickr-com-photos-121038423@N04-15123731314 https:--www-flickr-com-photos-1234abcd-4253012411 https:--www-flickr-com-photos-126199579@N02-14695675513 https:--www-flickr-com-photos-126952482@N06-15426488516 https:--www-flickr-com-photos-128326674@N06-19677446713 https:--www-flickr-com-photos-130448072@N02-16962194981 https:--www-flickr-com-photos-20534297@N07-2791634971 https:--www-flickr-com-photos-27665395@N05-17882972498 https:--www-flickr-com-photos-30794983@N00-505803386 https:--www-flickr-com-photos-31451616@N02-4685736990 https:--www-flickr-com-photos-35899321@N06-16574963535 https:--www-flickr-com-photos-39302751@N06-6791562009 https:--www-flickr-com-photos-39718079@N00-3000519896 https:--www-flickr-com-photos-44576730@N06-11938042524 https:--www-flickr-com-photos-45131642@N00-3915878143 https:--www-flickr-com-photos-50603062@N06-13900810263 https:--www-flickr-com-photos-52420561@N08-15452086708 https:--www-flickr-com-photos-54808174@N04-15273865800
127 images 19 classes
* Random exposure adjustment of between -15 and +15 percent 22 23 24 31 32 33 34 35 41 42 43 44 45 Teeth are annotated in COCO Segmentation format. The dataset includes 127 images. To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com teeth visit https://github.com/roboflow/notebooks
3.2k images 13 classes