README.md

# BridgeData V2 Image Triplets Dataset

This dataset contains image triplets from BridgeData V2 trajectories in ImageFolder format.

## Dataset Structure

- **initial_images/**: Contains first frame images (initial state)
- **intermediate_images/**: Contains intermediate frame images (frame 38)
- **final_images/**: Contains final frame images (frame 43)
- **metadata.jsonl**: Contains metadata for each trajectory with image file paths

## Format

Each trajectory contributes one entry with:
- First image (frame 0) - Initial state
- Intermediate image (frame 38) - Intermediate edited state 
- Frame 43 image (frame 43) - Final edited state
- Trajectory metadata (campaign, session, trajectory names, etc.)

All images have a consistent resolution of 640 x 480 pixels.

## Statistics

- Total trajectories: 8802
- Total images: 26406
- Image triplets per trajectory: 1
- Image resolution: 640 x 480 pixels

## Loading the Dataset

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("imagefolder", data_dir="path/to/dataset")

# Access image triplets
example = dataset[0]
initial_image = example["first_image_file_name"]  # PIL Image - frame 0 (in initial_images/)
intermediate_image = example["intermediate_image_file_name"]  # PIL Image - frame 38 (in intermediate_images/)
final_image = example["frame_43_image_file_name"]  # PIL Image - frame 43 (in final_images/)
metadata = {k: v for k, v in example.items() if not k.endswith("_file_name") and k != "intermediate_image_file_name"}
```

Generated on: 2025-09-07 20:48:31