Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("xavierc01/plantify")
model = AutoModelForImageClassification.from_pretrained("xavierc01/plantify")Quick Links
plantify
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
Aloevera
Amla
Bael
Basil
Boswellia
Calendula
Catnip
Garlic
Giloe
Ginger
Ginseng
Gotu Kola
Lemon Balm
Mint
Neem
Peppermint
Rosemary
Thyme
Turmeric
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Evaluation results
- Accuracyself-reported0.659
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="xavierc01/plantify") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")