Update README.md

README.md

@@ -24,3 +24,55 @@ tags:
 size_categories:
 - 1K<n<10K
 ---
+
+---
+datasets:
+- VikramSingh178/Products-10k_sample-BLIP-captions
+---
+
+
+
+## Dataset Description
+
+The **Products-10k** dataset consists of images of various products along with their automatically generated captions. The captions are generated using the BLIP (Bootstrapping Language-Image Pre-training) model. This dataset aims to aid in tasks related to image captioning, visual recognition, and product classification.
+
+## Dataset Summary
+
+- **Dataset Name**: Products-10k
+- **Generated Captions Model**: Salesforce/blip-image-captioning-large
+- **Number of Images**: 10,000
+- **Image Formats**: JPEG, PNG
+- **Captioning Prompt**: "Photography of"
+- **Source**: The images are sourced from a variety of product categories.
+
+## Dataset Structure
+
+The dataset is structured as follows:
+
+- **image**: Contains the product images in RGB format.
+- **text**: Contains the generated captions for each product image.
+
+### Example Data
+
+Here is an example of the data in this dataset:
+
+| Image        | Caption                       |
+|--------------|-------------------------------|
+| ![Example Image](https://via.placeholder.com/150) | Photography of a red shirt. |
+
+## Usage
+
+You can load and use this dataset with the Hugging Face `datasets` library as follows:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("VikramSingh178/Products-10k_sample-BLIP-captions", split="train")
+
+# Display an example
+example = dataset[0]
+image = example["image"]
+caption = example["text"]
+image.show()
+print("Caption:", caption)
+```