Web11 Apr 2024 · It is trained on a diverse, high-quality dataset of over 1 billion masks (It has not been shared how the data was collected), which enables it to generalize to new types of objects and images beyond what it observed during training. and Meta AI research team claims that by and large, practitioners will no longer need to collect their segmentation … Web19 Jul 2024 · 3. Wine Classification Dataset. This is one is one of the classics. Expecially if you like vine and or planing to become somalier. This dataset is composed of two …
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Web1. Google Trends. Curated by: Google. Example data set: "Cupcake" search results. This is one of the widest and most interesting public data sets to analyse. Google’s vast search … Web1 Jan 2024 · This dataset describes a monthly count of the number of observed sunspots for just over 230 years (1749-1983). The units are a count and there are 2,820 observations. The source of the dataset is credited to Andrews & Herzberg (1985). Below is a sample of the first 5 rows of data including the header row. 1 2 3 4 5 6 dr. john maltese troy michigan
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WebExperience using R and Python for analyzing datasets. Dedicated and hard-working with a passion for Big Data. Self-motivated Statistician with exceptional quantitative analysis skills. Web27 Feb 2024 · A huge, heterogenous dataset. A heterogeneous dataset is defined as follows: Each sample in the dataset is a key-value pair (a dict object in Python) The keys … Web11 Mar 2024 · YouTube-8M is a project that was developed by Google AI/Research in 2016 to drive innovations and advancement in computer vision, representation learning and video modeling architectures at a large… dr john malcolm newcastle