meganariley/inat-wildflowers-75
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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.
| 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 |
from transformers import pipeline
classifier = pipeline("image-classification", model="meganariley/wildflower-classifier-v2", top_k=5)
result = classifier("path/to/wildflower.jpg")
Try it live: Wildflower Identifier
This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Base model
google/efficientnet-b4