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wildflower-classifier-v2
meganariley/wildflower-classifier-v2
wildflower-classifier-v2 is a image classification model from meganariley. Use it when you need a label for an image. The card lists the license as apache-2.0.
75 North American wildflower species classifier based on EfficientNet-B4, fine-tuned on 59,000+ iNaturalist research-grade photos.
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At a glance
- Task
- Image Classification
- License
- apache-2.0
- Model type
- efficientnet
- Access
- Public
- Created
- May 27, 2026
- Updated
- May 30, 2026
- SHA
- fa13612a
Base models
Datasets
Model card
From the Hugging Face model README
🌸 Wildflower Classifier v2
75 North American wildflower species classifier based on EfficientNet-B4, fine-tuned on 59,000+ iNaturalist research-grade photos.
⏳ Training in progress — model weights will appear here once training completes.
Details
| Base model | google/efficientnet-b4 |
| Dataset | meganariley/inat-wildflowers-75 |
| Species | 75 (28 plant families) |
| Training | Label smoothing 0.1, mixup α=0.2, cosine decay with warmup |
| Augmentation | RandomResizedCrop, flip, ±30° rotation, ColorJitter, GaussianBlur |
| Artifacts | Training bucket |
Usage
from transformers import pipeline
classifier = pipeline("image-classification", model="meganariley/wildflower-classifier-v2", top_k=5)
result = classifier("path/to/wildflower.jpg")
Demo
Try it live: Wildflower Identifier
<!-- ml-intern-provenance -->Generated by ML Intern
This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
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- Task
- Image Classification
- Type
- efficientnet
- License
- apache-2.0
- Created
- May 27, 2026
- Updated
- May 30, 2026