From the model card
Fields below are copied from the tags and counters on the HuggingFace repository Marqo/nsfw-image-detection-384 at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- Marqo
- Pipeline tag
- image-classification
- Library
- timm
- Weight formats
- safetensors
- License tag
apache-2.0— read the license file in the repo before relying on it- Downloads (HF counter at last fetch)
- 308,960
- Likes (HF counter at last fetch)
- 53
- Model card
- https://huggingface.co/Marqo/nsfw-image-detection-384
Use cases
- Automated content moderation for user-generated image uploads
- Pre-screening images before routing to manual review queues
- Platform compliance checks against adult content policies
- Dataset curation to remove explicit images before model training
Pros
- Apache 2.0 license allows commercial content moderation deployment
- 384px input balances classification accuracy and inference throughput
- Binary probability output is straightforward to threshold per use case
Cons
- Binary classification misses nuanced content categories like violence or gore
- Susceptible to adversarial cropping or low-resolution obfuscation techniques
- May require threshold calibration for cultural or platform-specific policies
Tags
timmsafetensorsimage-classificationlicense:apache-2.0region:us