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`
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Top Pip3 Datasets and Models
The datasets below can be used to train fine-tuned models for pip3 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 pip3 datasets below.
by yolov8 UAV
1545 images 74 classes
by juanjotests
118 images 71 classes
by cm
120 images 70 classes
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