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README.md

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+# LiveCompose
+
+LiveCompose is a team project focused on intelligent image cropping for mobile deployment.
+
+## Projects
+
+### Spaces
+
+- **Adacrop Demo**  
+  Interactive demo for Adacrop, an automatic image cropping system. The demo shows how a trained cropping policy predicts an initial crop box and refines it through sequential actions.
+
+## Models
+
+- **Adacrop**  
+  Original PyTorch checkpoints for the AdaCrop model, including the ResNet-50-based Actor-Critic policy and BBox head.
+
+- **Adacrop-MNV3-Distilled**  
+  A distilled MobileNetV3 student version of AdaCrop, designed to reduce model size and make mobile deployment more practical.
+
+- **Adacrop-CoreML.mlpackage**  
+  Core ML exports of Adacrop components for iOS deployment, including BBox prediction and policy action models.
+
+## Datasets
+
+- **LiveCompose-outpainted-17K**  
+  Outpainted image dataset with original crop bounding boxes, used for crop prediction and policy distillation experiments.
+
+## About AdaCrop
+
+AdaCrop formulates image cropping as a two-stage process:
+
+1. A BBox head predicts an initial crop region.
+2. An Actor policy refines the crop through actions such as moving, zooming, and stopping.