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Created 3 years ago
# Jovian Commit Essentials
# Please retain and execute this cell without modifying the contents for `jovian.commit` to work
!pip install jovian --upgrade -q
import jovian
jovian.utils.colab.set_colab_file_id('1Wh8bSxbOc6M7LkQ9SFJxM8r7ZUlGPdGF')
!pip install jovian --upgrade --quiet
Flower Recognition - An Image Classification Project
About
This dataset contains 4323 images of flowers.
The data collection is based on the data flicr, google images, yandex images.
You can use this datastet to recognize plants from the photo.
Content
The pictures are divided into five classes: chamomile, tulip, rose, sunflower, dandelion.
For each class there are about 800 photos. Photos are not high resolution, about 320x240 pixels. Photos are not reduced to a single size, they have different proportions!
Acknowledgements
- How to use Kaggle Datasets in Google Colab - https://medium.com/analytics-vidhya/how-to-fetch-kaggle-datasets-into-google-colab-ea682569851a
- Reference ipynb notebook - https://colab.research.google.com/drive/1c-U-fCmpcI0TAIds4_9IatzxMkcYnY8d#scrollTo=xfPP3dVf3KUg