Update README.md

README.md

@@ -24,7 +24,7 @@ configs:
 # Dataset Card: Hidden-Objects
 
 ## 📌 Overview
-This dataset is part of the **Hidden-Objects** research project, focusing on **Diffusion-Distilled Spatial Priors for Object Placement**. It provides image-object pairs with localized bounding boxes, designed to help models learn realistic object placement and spatial relationships within background scenes.
+It provides image-object pairs with localized bounding boxes, designed to help models learn realistic object placement and spatial relationships within background scenes.
 
 * **Project Page:** [marcoschouten.github.io/hidden_objects/](https://marcoschouten.github.io/hidden_objects/)
 * **Background Source:** [Places365 Dataset](http://places2.csail.mit.edu/download.html)
@@ -45,7 +45,7 @@ Each entry consists of a foreground object (`fg_class`) to be inserted within a
 ---
 
 ## 📐 Preprocessing & Bounding Boxes
-The bounding boxes are defined relative to a **512x512 center-cropped** version of the background image. To replicate this:
+The bounding boxes are defined relative to a **512x512 center-cropped** version of the background image. 
 1. Resize the shortest side of the original image to **512px**.
 2. Perform a **center crop** to reach 512x512.
 3. The upper-left corner of the crop is `(0, 0)`.
@@ -55,12 +55,14 @@ The bounding boxes are defined relative to a **512x512 center-cropped** version
 # Convert normalized [x, y, w, h] to 512x512 pixel coordinates
 px_x, px_y = bbox[0] * 512, bbox[1] * 512
 px_w, px_h = bbox[2] * 512, bbox[3] * 512
+```
+
 
-##############
 ## Example Setup
 huggingface-cli login
 
 
+### Download Background Images from Places
 
 ```python
 
@@ -69,16 +71,18 @@ import torchvision.datasets as datasets
 root = "INSERT_YOUR_PATH"   
 dataset = datasets.Places365(root=root, split='train-standard', small=False, download=True)
 print(f"Downloaded {len(dataset)} images to {root}")
+```
 
 
-
+### Load as JSONL
+```Python
 from datasets import load_dataset
 
 dataset = load_dataset("marco-schouten/hidden-objects", streaming=True)
 first_row = next(iter(dataset["train"]))
 print(first_row)
 ```
-
+Sample:
 ```json
 {
   "entry_id": 1,
@@ -92,7 +96,7 @@ print(first_row)
 }
 ```
 
-
+### Load for Training / Evalauting
 
 ```Python
 import os
@@ -126,7 +130,7 @@ class HiddenObjectsDataset(Dataset):
 # dataset = HiddenObjectsDataset(places_root="./data/places365")
 ```
 
-
+### Load Streaming Mode
 
 ```Python
 import os