Datasets:
Update dataset card for VizFlyt
#3
by
nielsr
HF Staff
- opened
README.md
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@@ -3,50 +3,9 @@ license: openrail
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size_categories:
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- 1M<n<10M
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task_categories:
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- text-to-image
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---
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# ImageNet Generated using Stable Diffusion v1.5
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This dataset contains approximately 1300 images per class over 1000 classes for a total of 1.3 million images.
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```plaintext
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0 tench, Tinca tinca
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1 goldfish, Carassius auratus
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2 great white shark, white shark, man-eater, man-eating shark, Carcharodon caharias
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3 tiger shark, Galeocerdo cuvieri
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4 hammerhead, hammerhead shark
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5 electric ray, crampfish, numbfish, torpedo
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6 stingray
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7 cock
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8 hen
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9 ostrich, Struthio camelus
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```
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Each category contains approximately 1300 images generated with the text prompt "A photo of {}" using seeds ranging from 1 to 1300. Stable diffusion v1.5 was used to generate all the images using the UniPCMultistepScheduler with 20 inference steps and the safety checker turned off. Images are 512x512 in resolution.
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Below are some randomly sampled images from the dataset:
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|:---:|:---:|
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| Class 115, Seed 29 | Class 220, Seed 0 |
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| Class 714, Seed 509 | Class 894, Seed 250 |
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```plaintext
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@misc{kim2023generative,
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title={Generative Artificial Intelligence Consensus in a Trustless Network},
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author={Edward Kim and Isamu Isozaki and Naomi Sirkin and Michael Robson},
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year={2023},
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eprint={2307.01898},
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archivePrefix={arXiv},
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primaryClass={cs.DC}
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}
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```
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size_categories:
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- 1M<n<10M
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task_categories:
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- robotics
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---
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This repository contains the data, code and models for the VizFlyt framework, as described in the paper [VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots](https://huggingface.co/papers/2503.22876).
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More information, code, datasets, hardware guides and demo videos are available at https://pear.wpi.edu/research/vizflyt.html
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