Announcing Belebele, a first-of-its-kind multilingual reading comprehension dataset. This dataset is parallel for 122 language variants, enabling direct comparison of how well models understand different languages. Dataset
https://bit.ly/47UTSAh
@aiatmeta
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Belebele: A Multilingual Dataset for Reading Comprehension
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Meta Releases FACET: Fairness Benchmark for Vision Models
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We’re also releasing FACET, a comprehensive benchmark dataset to evaluate fairness of models across different vision tasks involving people. It consists of 32K images, labeled by expert annotators for demographic & physical attributes.
— AI at Meta (@AIatMeta) 31 août 2023
Explore FACET ➡️ https://t.co/XWXjlY9eV7 pic.twitter.com/a3OtCiNsaSWe’re also releasing FACET, a comprehensive benchmark dataset to evaluate fairness of models across different vision tasks involving people. It consists of 32K images, labeled by expert annotators for demographic & physical attributes. Explore FACET https://
bit.ly/3syYHPy -
DINOv2 Released Under Apache 2.0 License with Dense Prediction Models
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To support innovation in computer vision, we’re making DINOv2 available under the Apache 2.0 license + releasing a collection of DINOv2-based dense prediction models for semantic image segmentation and monocular depth estimation.
— AI at Meta (@AIatMeta) 31 août 2023
Try our updated demo ➡️ https://t.co/ctwiBFWS4W pic.twitter.com/5tKU1JDSbWTo support innovation in computer vision, we’re making DINOv2 available under the Apache 2.0 license + releasing a collection of DINOv2-based dense prediction models for semantic image segmentation and monocular depth estimation. Try our updated demo https://
bit.ly/44FsfIQ -
DINOv2 License Expansion and FACET Benchmark for Vision Fairness
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Today we’re announcing two new updates in our computer vision work — a new, expanded license for our DINOv2 model and the release of FACET, a comprehensive new benchmark dataset to help evaluate and improve fairness in vision models.
— AI at Meta (@AIatMeta) 31 août 2023
More details ➡️ https://t.co/fDHYNpGrta
🧵 pic.twitter.com/dOXDWOLKSYToday we’re announcing two new updates in our computer vision work — a new, expanded license for our DINOv2 model and the release of FACET, a comprehensive new benchmark dataset to help evaluate and improve fairness in vision models. More details https://
bit.ly/3L35E1U -
AI Models Benefit from Open Approach Innovation Safety
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We believe that AI models benefit from an open approach, both in terms of innovation and safety. Releasing models like Code Llama means the entire community can evaluate their capabilities, identify issues & fix vulnerabilities.
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CoTracker: Advanced Pixel Tracking for Video Analysis
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CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy.
— AI at Meta (@AIatMeta) 29 août 2023
Code ➡️ https://t.co/d0igWWYFOu pic.twitter.com/hSO0wbqNu9CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy. Code https://
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CoTracker: Multi-point Video Tracking with Transformer Networks
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New on @huggingface — CoTracker simultaneously tracks the movement of multiple points in videos using a flexible design based on a transformer network — it models correlation of the points in time via specialized attention layers.
— AI at Meta (@AIatMeta) 29 août 2023
🤗 Try CoTracker ➡️ https://t.co/IdaUrH9Xxr pic.twitter.com/WogyQI3F4vNew on @huggingface — CoTracker simultaneously tracks the movement of multiple points in videos using a flexible design based on a transformer network — it models correlation of the points in time via specialized attention layers. Try CoTracker https://
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Developers Exploring Llama 2 Capabilities on Vertex AI Platform
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We can’t wait to see what devs are able to build as they get hands on with Llama 2 on Vertex AI!
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Llama 2 and Code Llama Models Now Available in Vertex AI
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Llama 2 and Code Llama models are now available in the Vertex AI Model Garden — more details from @GoogleCloudTech
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Meta Publishes Research Paper on SeamlessM4T Translation Model
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In the interest of open science and sharing our research, we've published a paper outlining the work on our recently released SeamlessM4T all-in-one multilingual & multimodal translation model. Read the full paper https://
bit.ly/44uzanK