richardaecn/cvpr18-inaturalist-transfer
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
This project provides tools and pre-trained models to help researchers and data scientists efficiently categorize images of specific, similar items, like different bird species or car models. It takes large collections of images from a specialized area and helps you train a highly accurate image classification system, even with limited new data. You'll get out a model that can identify fine-grained distinctions within your domain.
196 stars. No commits in the last 6 months.
Use this if you need to build a high-accuracy image classification system for a very specific category, like identifying particular types of flowers, birds, or car models, and want to leverage existing knowledge from similar image datasets.
Not ideal if you're looking for a general-purpose image classification tool for broad categories or if you're not comfortable working with machine learning models and code.
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MIT
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Last pushed
Nov 03, 2018
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