Freepik/nsfw_image_detector
image-classification model by Freepik
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This model is a vision transformer based on the EVA architecture, fine-tuned for NSFW content classification. It has been trained to detect four categories (neutral, low, medium, high) of visual content using 100,000 synthetically labeled images. The model can be used as a binary (true/false) classifier if desired, or you can obtain the full output probabilities.. It outperforms other excellent publicly available models such as Falconsai/nsfwimagedetection or AdamCodd/vit-base-nsfw-detector in our internal benchmarks adding the enrichment of being able to select the NSFW level that suits your use case. You can try this model directly in your browser through our Hugging Face Space. Upload any image and get instant NSFW classification results without any installation required. In the table below, the results are obtained as follows: Conclusions: We have created a manually labeled dataset with careful attention to avoiding biases (gender, ethnicity, etc.). While the sample size is relatively small, it…
Read the full model card ↗ · Preview checked 2026-10-31T13:02:04.135Z
Inside the original model card — Document outline
- EVA-based Fast NSFW Image Classifier
- Table of Contents
- Model Description
- Try it Online! 🚀
- Model Performance Comparison
- Global Performance
- Accuracy by AI Content
- AI-Generated Content
- Usage
- Quick Start via pip
- Quick Start with Pipeline
- Avoid installation of pip dependency
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Freepik/nsfw_image_detector is a image-classification model repository published by Freepik 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)
- 380,327
- Cumulative likes
- 63
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 86,351,620
- Architecture
- TimmWrapperForImageClassification
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2025-04-10T08:59:44.000Z
- Last modified
- 2025-05-09T09:04:50.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1k
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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