Downloads · 30 days
12
2% of all-time downloads
flowers_16_types_image_detection
dima806/flowers_16_types_image_detection
flowers_16_types_image_detection is a image classification model from dima806. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
Returns flower type given an image with about 99.5% accuracy.
All-time downloads
536
Public
Parameters
85.8M
2.1 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pt1.4 GB · 50%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 19, 2023
- Updated
- Oct 19, 2024
- SHA
- ac6c42b5
Base models
Model card
From the Hugging Face model README
Returns flower type given an image with about 99.5% accuracy.
See https://www.kaggle.com/code/dima806/flowers-16-types-image-detection-vit for more details.
Classification report:
precision recall f1-score support
calendula 0.9928 0.9786 0.9856 421
coreopsis 0.9882 0.9905 0.9893 421
rose 0.9976 0.9953 0.9964 422
black_eyed_susan 0.9976 0.9976 0.9976 422
water_lily 0.9953 1.0000 0.9976 421
california_poppy 0.9905 0.9929 0.9917 422
dandelion 1.0000 0.9976 0.9988 422
magnolia 0.9952 0.9858 0.9905 422
astilbe 0.9976 0.9976 0.9976 421
sunflower 0.9976 1.0000 0.9988 422
tulip 0.9976 1.0000 0.9988 422
bellflower 0.9952 0.9905 0.9929 422
iris 1.0000 1.0000 1.0000 421
common_daisy 0.9882 0.9952 0.9917 421
daffodil 0.9976 0.9976 0.9976 422
carnation 0.9859 0.9976 0.9918 422
accuracy 0.9948 6746
macro avg 0.9948 0.9948 0.9948 6746
weighted avg 0.9948 0.9948 0.9948 6746
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 19, 2023
- Updated
- Oct 19, 2024