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| 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 |
1from transformers import pipeline
2
3classifier = pipeline("image-classification", model="meganariley/wildflower-classifier-v2", top_k=5)
4result = classifier("path/to/wildflower.jpg")