Nahrawy/VIDIT-Depth-ControlNet
VIDIT Dataset This is a version of the VIDIT dataset equipped for training ControlNet using depth maps conditioning. VIDIT includes 390 different Unreal Engine scenes, each captured with 40 illumination settings, resulting in 15,600 images. The illumination settings are all the combinations of 5 color temperatures (2500K, 3500K, 4500K, 5500K and 6500K) and 8 light directions (N, NE, E, SE, S, SW, W, NW). Original image resolution is 1024x1024. We include in this version only the… See the full description on the dataset page: https://huggingface.co/datasets/Nahrawy/VIDIT-Depth-ControlNet.
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1---2dataset_info:3 features:4 - name: scene5 dtype: string6 - name: image7 dtype: image8 - name: depth_map9 dtype: image10 - name: direction11 dtype: string12 - name: temprature13 dtype: int3214 - name: caption15 dtype: string16 splits:17 - name: train18 num_bytes: 20575644792.019 num_examples: 1200020 download_size: 2010843128021 dataset_size: 20575644792.022---23# VIDIT Dataset24This is a version of the [VIDIT dataset](https://github.com/majedelhelou/VIDIT) equipped for training ControlNet using depth maps conditioning.25VIDIT includes 390 different Unreal Engine scenes, each captured with 40 illumination settings, resulting in 15,600 images. The illumination settings are all the combinations of 5 color temperatures (2500K, 3500K, 4500K, 5500K and 6500K) and 8 light directions (N, NE, E, SE, S, SW, W, NW). Original image resolution is 1024x1024.26We include in this version only the training split containing only 300 scenes.27Captions were generated using the [BLIP-2, Flan T5-xxl](https://huggingface.co/Salesforce/blip2-flan-t5-xxl) model.28Depth maps were generated using the [GLPN fine-tuned on NYUv2 ](https://huggingface.co/vinvino02/glpn-nyu) model.29 30## Examples with varying direction3132## Examples with varying color temperature3334 35## Disclaimer36I do not own any of this data.37 38