This project focuses on the classification of plant seedlings using deep learning techniques. The goal is to develop a model that can accurately identify different types of plant species or determine the health status of seedlings based on input images.
Dataset include 4430 files belonging to 12 classes. Dataset is publicly available here
The list of Species is as follows:
Black-grass ,Charlock Cleavers, Common Chickweed ,Common wheat ,Fat Hen, Loose Silky-bent ,Maize, Scentless Mayweed, Shepherds Purse, Small-flowered Cranesbill ,Sugar beet
This is an plant seedling classification.I used transfer learning to classify images. The goal is to develop a model that can give more accuracy on the different species of plant.
This project is licensed under the MIT License.
- ©2023 Tushar Aggarwal. All rights reserved
- Medium
- Tushar-Aggarwal.com
- New Kaggle
If you have any questions, suggestions, or just want to say hello, you can reach out to us at Tushar Aggarwal. We would love to hear from you!