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dogs-n-cats
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Looking for data for your browser TensorFlow.js project? Try dogs n cats!
example:
// https://www.cs.toronto.edu/~kriz/cifar.html
import * as DogsNCats from "dogs-n-cats"
// Creates a 1,000 dog and 1,000 cat images in memory
const DC = await DogsNCats.load()
// 4/5 Train/Test
DC.training.length // 1600
DC.test.length // 400
// Get 1000 random training images
// images is a stacked tensor set of 3D tensors
// labels is a tensor of 0s and 1s (0 is dog, 1 is cat)
const [images, labels] = DC.training.get(1000)
// single random dog 3D tensor
const [dogTensor, dogLabels] = DC.dogs.get()
// 3 random cat tensors stacked (4D), and 1D tensor of answers
const [catTensors, catLabels] = DC.cat.get(3)
// FAST! but non-random
const sameImages = DC.training.getOrdered(1000)
// Draw a dataset to a canvas
const gridX = 20
const gridY = 3
DC.gridShow(catTensors, displayCanvas, gridX, gridY, {scale:1.5, grow:true})
https://www.cs.toronto.edu/~kriz/cifar.html
Demo website located in examples/simple
FAQs
Ready to go tensors for TensorFlow.js - dog and cat images data-set
The npm package dogs-n-cats receives a total of 0 weekly downloads. As such, dogs-n-cats popularity was classified as not popular.
We found that dogs-n-cats demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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