525-species bird task
According to the model card, the dataset covers 525 bird species with 84,635 training images plus validation and test splits.
Open Source Model Profile · dennisjooo
Birds-Classifier-EfficientNetB2
Birds-Classifier-EfficientNetB2 is an 8.51M EfficientNet-B2 fine-tune from dennisjooo. Its model card documents training on 525 bird species with a full PyTorch recipe.
- Publisher
- dennisjooo
- Task
- image-classification
- Model type
- efficientnet
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Birds-Classifier-EfficientNetB2 is published by dennisjooo as an image-classification fine-tune. The captured configuration identifies EfficientNetForImageClassification, and Safetensors metadata reports about 8.51M parameters. According to the model card, it fine-tunes google/efficientnet-b2 for bird-species identification.
Recorded capabilities
Documented training recipe
The publisher documents P100 training with rotation and flip augmentation, cross-entropy loss, and a reduce-on-plateau schedule.
Transformers and pipeline usage
The model card documents both direct EfficientNetImageProcessor loading and a Hugging Face image-classification pipeline.
Use cases in the source record
- Bird-species identification from photographs, the task the publisher built the classifier around.
- Transformers or pipeline-based image-classification experiments using the card's documented loading snippets.
Limitations and unknowns
- No evaluation results were extracted from this record.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Dataset and training details come from the publisher model card and have not been independently verified by Ethen.
Source and provenance
Source: dennisjooo/Birds-Classifier-EfficientNetB2
Captured: Unknown. Processed: 2026-09-07T19:34:43.481096+00:00.
Bird Classifier EfficientNet-B2 Model Description Have you look at a bird and said "Boahh if only I know what bird that is". Unless you're an avid bird spotter (or just love birds in general), it's hard to differentiate some species of birds. Well you're in luck, turns out you can use a image classifier to identify bird species! This model is a fine-tuned version of google/efficientnet-b2 on the gpiosenka/100-bird-species dataset available on Kaggle. The dataset used to train the model was taken on September 24th, 2023. The original model itself was trained on ImageNet-1K, thus it might still have some useful features for identifyin…
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