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Simple Python code for accessing Sun RGB-D and similar datasets3D understanding from 2D images is the first step into a larger world.As many of the primitive tasks in computer vision approach a solved state — decent, quasi-general solutions now being available for image segmentation and text-conditioned generation, with general answers to visual question answering, depth estimation, and general object detection well on the way — I and many of my colleagues have been looking to use CV in larger tasks. When a human looks at…

Image Source : FILE Artificial intelligence Artificial intelligence (AI) has taken over the world within a couple of years and has been storming the world with its expansion and wide usage. In India, many startups have been impacted by creating dataset space in several Indian languages to train AI models and for research while creating jobs, majorly in the rural parts…

Image: Ryan DeBerardinis (Shutterstock)An influential machine learning dataset—the likes of which has been used to train numerous popular image-generation applications—includes thousands of suspected images of child sexual abuse, a new academic report reveals.With AI Advertising, Nothing is Real | AI UnlockedThe report, put together by Stanford University’s Internet Observatory, says that LAION-5B, a massive tranche of visual media, includes a significant number of illegal abuse images.LAION-5B is maintained by the…

Researchers from the Stanford Internet Observatory say that a dataset used to train AI image generation tools contains at least 1,008 validated instances of child sexual abuse material. The Stanford researchers note that the presence of CSAM in the dataset could allow AI models that were trained on the data to generate new and even realistic instances of CSAM.LAION, the non-profit that created the dataset, told that it "has a zero tolerance policy for illegal content and in an abundance of caution, we are temporarily…

Long memory of the market-order flow ubiquitously observed in financial markets. Here, +1 (-1) signifies a buy (sell) market order. Once you observe a buy (sell) market order, you will likely observe a buy (sell) order again, even in future. The most promising hypothesis behind this phenomenon is the order-splitting hypothesis, where institutional investors are assumed to split large metaorders into long runs of small child order. Credit: Sato and…

There are many sources of bias in machine learning. Those rooted in the truths that the data represents, such as systemic and structural ones, lead to prejudice bias in the data. There are also biases rooted in the data, such as sample, exclusion, association, and measurement biases. Lastly, there are biases in the insights we derive from data or models we have to be careful with, such as conservatism bias, salience bias, and fundamental attribution error. This section is an excerpt from my recent book, Interpretable…

Scientists from Sun Yat-Sen University developed a large-scale annotated dataset (Globe230k) for high generalized global land cover mapping. The annotated patches provide cues to help classification tools distinguish cropland, forest, wetland, grassland, and more. Credit: ; ; ; ; Tracking unprecedented changes in land use over the past century, global land cover maps provide key insights into the impact of human settlement on…

The ability to ask questions to your data set has always been an intriguing prospect.Continue reading on Towards Data Science » The ability to ask questions to your data set has always been an intriguing prospect.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful…

It’s no secret that Google and Apple have long been the dominant players in the mapping world, thanks in part due to the extensive resources required to map cities and remote areas. However, last year, Meta, Microsoft, Amazon Web Services, and TomTom came together to form the Overture Maps Foundation to challenge the duopoly of Google and Apple. Now, as part of these efforts, the group has finally unveiled its first open map dataset, empowering third-party developers to create their mapping products without having to…

It is 2023 and, sorry, Siri somehow still didn’t catch that. Despite the tsunami of advancements generative AI systems have enjoyed in recent months, the synthetic assistants on our mobile devices remain nearly as hard of hearing as they were in 2011. A newly developed dataset from Meta AI, however, promises to improve the performance of such automatic speech recognition (ASR) tools by clustering speech at the “utterance level.” Meta has long sought to improve its ASRs’ performance, teaching them to train without the aid…