ISxOdin/vit-base-oxford-iiit-pets
image-classification model by ISxOdin
From the publisher
Model card & documentation
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This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset. It achieves the following results on the evaluation set: This model is a fine-tuned version of a pre-trained Vision Transformer (google/vit-base-patch16-224) for image classification on the Oxford-IIIT Pet Dataset. It uses transfer learning to adapt a generic vision model to identify 37 different cat and dog breeds. The model head is adjusted to output the number of classes in the dataset, and it is trained end-to-end using standard classification loss. Intended Uses: Limitations: The model is trained and evaluated on the Oxford-IIIT Pet Dataset, which contains 7,349 images of cats and dogs spanning…
Read the full model card ↗ · Preview checked 2026-11-01T04:51:35.008Z
Inside the original model card — Document outline
- vit-base-oxford-iiit-pets
- Model description
- Intended uses & limitations
- Training and evaluation data
- Training procedure
- Training hyperparameters
- Training results
- Zero-Shot Classification Evaluation (CLIP)
- Evaluation Results:
- Framework versions
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Model overview
ISxOdin/vit-base-oxford-iiit-pets is a image-classification model repository published by ISxOdin on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- transformers
- Recent downloads (30 days)
- 183,067
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 85,827,109
- Architecture
- ViTForImageClassification
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-04-01T15:21:11.000Z
- Last modified
- 2025-04-11T14:11:40.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/vit-base-patch16-224
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:32.747Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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