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The market status of models
🔥 Trending
Model | Accuracy | Views |
---|---|---|
Food Vision | 93.2% | 25 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
🚀 Top Gainers
Model | Accuracy | Views |
---|---|---|
Food Vision | 93.2% | 25 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
💎 Recently Added
Model | Accuracy | Views |
---|---|---|
Food Vision | 93.2% | 25 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
Face detection | 90.2% | 23 k |
What people said about us?
Use foundation models in your pipeline and fine-tune them with your data
Use models from OpenAI, Meta AI, and thousands of top open source repositories.
Organize visual data with CLIP vector embeddings
Automate labeling with zero-shot generalization using Segment Anything (SAM)
Deploy foundation models, like SAM and CLIP, via hosted API or at the edge
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