https://github.com/roboflow/synthetic-fruit-dataset
Code for Roboflow's How to Create a Synthetic Dataset tutorial.
https://github.com/roboflow/synthetic-fruit-dataset
blog computer-vision coreml createml datasets how-to image-processing machine-learning object-detection open-images-dataset roboflow synthetic-data tutorial
Last synced: about 1 year ago
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Code for Roboflow's How to Create a Synthetic Dataset tutorial.
- Host: GitHub
- URL: https://github.com/roboflow/synthetic-fruit-dataset
- Owner: roboflow
- License: mit
- Created: 2020-04-13T21:08:42.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-07-11T04:38:53.000Z (almost 3 years ago)
- Last Synced: 2025-04-30T20:50:53.564Z (about 1 year ago)
- Topics: blog, computer-vision, coreml, createml, datasets, how-to, image-processing, machine-learning, object-detection, open-images-dataset, roboflow, synthetic-data, tutorial
- Language: JavaScript
- Homepage: https://blog.roboflow.com/how-to-create-a-synthetic-dataset-for-computer-vision/
- Size: 72 MB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Synthetic Fruit Dataset
Code for Roboflow's [How to Create a Synthetic Dataset for Computer Vision tutorial](https://blog.roboflow.ai/how-to-create-a-synthetic-dataset-for-computer-vision).
After downloading Open Images and Fruit images and storing them in your home
directory, running `generate.js` will generate synthetic images labeled with
bounding boxes for object detection like these:
A simple pre-trained model trained with CreateML on the output is available here.
## Data Download
6,000 pre-generated output images are available on
[Roboflow Public Datasets here](https://public.roboflow.ai/object-detection/synthetic-fruit).