google-research-datasets / witLinks
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
☆1,097Updated last year
Alternatives and similar repositories for wit
Users that are interested in wit are comparing it to the libraries listed below
Sorting:
- OpenAI CLIP text encoders for multiple languages!☆824Updated 2 years ago
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,274Updated 3 years ago
- Code release for SLIP Self-supervision meets Language-Image Pre-training☆787Updated 2 years ago
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆722Updated 2 years ago
- Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image …☆560Updated 4 years ago
- Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.☆413Updated 6 months ago
- GIT: A Generative Image-to-text Transformer for Vision and Language☆581Updated 2 years ago
- Oscar and VinVL☆1,053Updated 2 years ago
- A PyTorch Lightning solution to training OpenAI's CLIP from scratch.☆719Updated 3 years ago
- ☆1,045Updated 3 years ago
- [CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning…☆722Updated 2 years ago
- Multi Task Vision and Language☆824Updated 3 years ago
- Robust fine-tuning of zero-shot models☆759Updated 3 years ago
- CLIP-like model evaluation☆800Updated 3 weeks ago
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm☆673Updated 3 years ago
- DataComp: In search of the next generation of multimodal datasets☆767Updated 9 months ago
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch☆1,198Updated 2 years ago
- 🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".☆485Updated 2 years ago
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆897Updated 2 years ago
- Research code for pixel-based encoders of language (PIXEL)☆345Updated 6 months ago
- Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"☆800Updated 4 years ago
- COYO-700M: Large-scale Image-Text Pair Dataset☆1,251Updated 3 years ago
- PyTorch code for "Unifying Vision-and-Language Tasks via Text Generation" (ICML 2021)☆374Updated 2 years ago
- [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"☆405Updated 2 years ago
- [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations☆565Updated 5 months ago
- [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383☆419Updated 3 years ago
- Simple image captioning model☆1,407Updated last year
- Recent Advances in Vision and Language PreTrained Models (VL-PTMs)☆1,156Updated 3 years ago
- project page for VinVL☆359Updated 2 years ago
- Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"☆540Updated 2 years ago