image_id large_stringlengths 2 6 | latents large listlengths 76.8k 76.8k | shape_channels int64 16 16 | shape_height int64 60 60 | shape_width int64 80 80 | original_width int64 633 640 | original_height int64 473 480 | filename large_stringlengths 6 10 |
|---|---|---|---|---|---|---|---|
552947 | [0.6795199513435364,-0.6916218996047974,0.5622907876968384,-1.2219618558883667,-1.4036428928375244,-(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 552947.jpg |
80871 | [2.201977491378784,2.6157779693603516,2.4809882640838623,1.500563144683838,2.1084771156311035,0.0765(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 80871.jpg |
700069 | [-0.07428989559412003,-2.2811975479125977,-2.1798040866851807,-2.4429750442504883,-2.975300788879394(...TRUNCATED) | 16 | 60 | 80 | 640 | 479 | 700069.jpg |
333517 | [3.28827166557312,0.01935623586177826,1.6125365495681763,-0.11414781212806702,1.263343095779419,1.36(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 333517.jpg |
289304 | [3.863442897796631,1.0274357795715332,3.0325188636779785,0.70014888048172,3.137603759765625,0.636435(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 289304.jpg |
165931 | [1.7258632183074951,0.5689622163772583,0.7086299657821655,0.6275345087051392,0.07720410078763962,0.6(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 165931.jpg |
706922 | [-0.8672904968261719,-0.35668790340423584,0.20229743421077728,1.2842001914978027,-1.6324611902236938(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 706922.jpg |
4961 | [1.7800995111465454,1.728881597518921,1.8525471687316895,0.8001644015312195,1.3022385835647583,1.619(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 4961.jpg |
182823 | [2.474266767501831,1.7130790948867798,2.5897984504699707,0.17445798218250275,-0.056612834334373474,2(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 182823.jpg |
369296 | [0.06552736461162567,0.5227634906768799,1.523195743560791,1.3544307947158813,0.0166584774851799,-0.2(...TRUNCATED) | 16 | 60 | 80 | 640 | 480 | 369296.jpg |
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Dataset Card for AVA FLUX.1-schnell Latents 5k
5k latents from FLUX.1-schnell VAE for the AVA dataset
Dataset Details
Dataset Description
- Curated by: Dave Lage
- License: Apache-2.0
Dataset Sources [optional]
- Repository: [More Information Needed]
Uses
Latents are a sample from the AVA dataset. These latents were created using the FLUX.1-schnell VAE model. Use of these latents is intended for research purposes only. Useful for Aesthetic Predictions using AVA dataset AVA.txt for aesthetic predictive modeling.
Dataset Structure
- image_id: image id from the AVA dataset
- latents: flattened list of latents
- shape_channels: channels of the VAE (16)
- shape_height: height of the latents
- shape_width: width of the latents
- original_width: width of the image
- original_height: height of the image
- filename: filename of the image
Dataset Creation
Data Collection and Processing
Non-randomized dataset was collected from the AVA dataset. Latents captured from the FLUX.1-schnell VAE. Latents are flattened into a list and dimensions are stored in the dataset parquet file.
Personal and Sensitive Information
Latents are from the AVA dataset. Images are not included in this dataset.
Bias, Risks, and Limitations
- Dataset is non randomized and not a complete dataset so there is not enough data to create appropriate results.
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