ChenyunWu/PhraseCutDataset
Dataset API for "PhraseCut: Language-based Image Segmentation in the Wild"
This project provides a comprehensive dataset for training and evaluating models that can identify specific objects or regions within an image based on a descriptive phrase. You input an image and a natural language phrase, and the output is a precise mask highlighting the described region. It's designed for researchers and developers working on advanced image understanding and human-computer interaction.
113 stars.
Use this if you are developing or evaluating computer vision models that need to accurately segment image regions guided by natural language descriptions.
Not ideal if you need a dataset for general object detection or image classification without specific phrase-based regional identification.
Stars
113
Forks
14
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 28, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/ChenyunWu/PhraseCutDataset"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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