OFA VS ImageNet21K

Compare OFA vs ImageNet21K and see what are their differences.

OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (by OFA-Sys)

ImageNet21K

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper (by Alibaba-MIIL)
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OFA ImageNet21K
3 1
2,323 695
2.4% 2.9%
2.8 10.0
4 days ago over 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ImageNet21K

Posts with mentions or reviews of ImageNet21K. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-22.

What are some alternatives?

When comparing OFA and ImageNet21K you can also consider the following projects:

GroundingDINO - Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

vision_transformer

ONE-PEACE - A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

LMOps - General technology for enabling AI capabilities w/ LLMs and MLLMs

MAGIC - Language Models Can See: Plugging Visual Controls in Text Generation

Fashion12K_german_queries

UPop - [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.

mPLUG-Owl - mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model

docarray - Represent, send, store and search multimodal data