Update README.md

README.md

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-# Dataset Card for "VIDIT-Depth-ControlNet"
+# VIDIT Dataset
+This is a version of the [VIDIT dataset](https://github.com/majedelhelou/VIDIT) 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 training split containing only 300 scenes.
+Captions were generated using the [BLIP-2, Flan T5-xxl](https://huggingface.co/Salesforce/blip2-flan-t5-xxl) model.
+Depth maps were generated using the [GLPN fine-tuned on NYUv2 ](https://huggingface.co/vinvino02/glpn-nyu) model.
+
+## Examples with varying direction
+![varying direction](B_directions.gif)
+## Examples with varying color temperature
+![varying color temperature](B_illuminants.gif)
+
+## Disclaimer
+I do not own any of this data.
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)