Overview
NFT-Net is a large-scale open-source image-text dataset in the Web 3.0 domain, comparable to ImageNET.
It includes well-known NFT projects from prominent blockchains such as Ethereum, Bitcoin, Solana,etc. The dataset is continually expanded through community collaboration and periodic updates. We encourage individuals from all sectors to utilize this dataset for various scientific research endeavors to promote the integration of Web 3.0 and AI.
Our initial release is the NFT1000 dataset!
Introduction of NFT1000
The NFT1000 dataset comprises 1000 outstanding PFP NFT projects, each containing approximately 7500 image-text pairs, encompassing a total of 7.56 million image-text pairs with a collective data volume of 1.75TB.
In the dataset, the training set includes 800 projects with 6,178,249 image-text pairs. The validation set comprises 50 projects with 383,916 image-text pairs, and the test set consists of 150 projects with 1,000,838 imagetext pairs. The content spans a diverse range of artistic types, including 3D rendered images, 2D flat illustrations, pixel arts, NPC characters, real photographs,etc. It covers a total of 356 different content themes and 595,504 unique descriptive phrases.
- Downloads last month
- 0