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--- |
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license: openrail |
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size_categories: |
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- 1M<n<10M |
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--- |
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# ImageNet Generated using Stable Diffusion v1.5 |
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The following repository mimics the size and class structure of the original ImageNet database. The classes can be found in the `classes.txt` file. |
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Here is an excerpt from `classes.txt`: |
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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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<table> |
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<tr> |
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<td><img src="seed_29.jpg" alt="Sample Image 1"><br>Class 115, Seed 29</td> |
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<td><img src="seed_0.jpg" alt="Sample Image 2"><br>Class 220, Seed 0</td> |
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</tr> |
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<tr> |
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<td><img src="seed_509.jpg" alt="Sample Image 3"><br>Class 714, Seed 509</td> |
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<td><img src="seed_250.jpg" alt="Sample Image 4"><br>Class 894, Seed 250</td> |
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</tr> |
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</table> |
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