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Promptable Concept Segmentation Model Leaderboard
Identify the location of all instances of a visual concept in an image with pixel-level precision (or predict nothing if the concept does not exist) using text prompts, specific regions of an image as reference, or both. Model performance is measured by how well the model accurately identifies real-world objects in complex scenes.
License
Benchmark
Instance Segmentation
Box Detection
Semantic Segmentation
*Author reported, not yet independently validated
† partially trained on LVIS.
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