Upload folder using huggingface_hub

.gitattributes

@@ -58,3 +58,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+ADE20KPart234/ade20k_instance_train_mixed_parts.json filter=lfs diff=lfs merge=lfs -text
+PartImageNet/annotations/test_whole/test_mixed_parts.json filter=lfs diff=lfs merge=lfs -text
+PartImageNet/annotations/train/train_mixed_parts.json filter=lfs diff=lfs merge=lfs -text
+PartImageNet/annotations/train_whole/train_mixed_parts.json filter=lfs diff=lfs merge=lfs -text
+PartImageNet/annotations/val_whole/val_mixed_parts.json filter=lfs diff=lfs merge=lfs -text
+mixed_parts_train.json filter=lfs diff=lfs merge=lfs -text

ADE20KPart234/ade20k_instance_train_mixed_parts.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d50cbcc2a3fb33b418cb7fd5e139287752a745a698941cbdaa3c6d0965f2325
+size 16904869

PartImageNet/annotations/test_whole/test_mixed_parts.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b9877e4fea60fc7bbc8173ad3c3c66761e2833853cb7398665f4ecae10d777d
+size 21563943

PartImageNet/annotations/train/train_mixed_parts.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a824ceaafd71b5eecf0367cf3d22b7af89bd2b0039d1a0b79230c0140bf28790
+size 40960961

PartImageNet/annotations/train_whole/train_mixed_parts.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46e7247c750bed0f6eff289b5bc6aa793f3e9a114e01cd628fbb6021e8922b23
+size 182542765

PartImageNet/annotations/val_whole/val_mixed_parts.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e98ddee026ef11a102de1ca9d75a818f02e597bb84e2393217d5fe64c10d8e4
+size 10597025

README.md

@@ -0,0 +1,157 @@
+---
+pretty_name: Mixed Parts
+language:
+- en
+task_categories:
+- image-segmentation
+tags:
+- computer-vision
+- semantic-segmentation
+- co-segmentation
+- part-segmentation
+- multi-image-reasoning
+size_categories:
+- 1M<n<10M
+---
+
+# Mixed Parts
+
+Mixed Parts is the annotation bundle used by CALICO for part-focused semantic co-segmentation. It contains multi-image object-part comparison samples curated from ADE20KPart234, PartImageNet, and PACO-LVIS image assets.
+
+This repository contains annotations only. Users must download the original image datasets separately from their upstream sources and overlay these annotations into the expected CALICO directory structure.
+
+## Files
+
+```text
+mixed_parts_train.json
+mixed_parts_val.json
+mixed_parts_test.json
+ADE20KPart234/ade20k_instance_train_mixed_parts.json
+ADE20KPart234/ade20k_instance_val_mixed_parts.json
+PartImageNet/annotations/train/train_mixed_parts.json
+PartImageNet/annotations/train_whole/train_mixed_parts.json
+PartImageNet/annotations/val/val_mixed_parts.json
+PartImageNet/annotations/val_whole/val_mixed_parts.json
+PartImageNet/annotations/test/test_mixed_parts.json
+PartImageNet/annotations/test_whole/test_mixed_parts.json
+```
+
+The official Mixed Parts test split is `mixed_parts_test.json`.
+
+## Split Sizes
+
+| Split | Samples |
+| --- | ---: |
+| Train | 2,380,749 |
+| Val | 1,999 |
+| Test | 999 |
+
+## Source Data
+
+Download the original source data from the upstream projects:
+
+- ADE20KPart234: download `ADE20KPart234.tar.gz` from [InternRobotics/OV_PARTS](https://github.com/InternRobotics/OV_PARTS).
+- PartImageNet: download `PartImageNet_Seg.zip` from [tacju/partimagenet](https://github.com/tacju/partimagenet).
+- COCO2017 and PACO-LVIS: follow [facebookresearch/paco](https://github.com/facebookresearch/paco) and download `paco_lvis_v1.zip`. PACO-LVIS annotations reference COCO2017 images, so COCO2017 images are also required.
+
+## Data Preparation
+
+From the CALICO repository root, create the default data layout:
+
+```bash
+mkdir -p data/mixed_parts_data data/coco_2017
+```
+
+Extract ADE20KPart234 and PartImageNet under `data/mixed_parts_data`:
+
+```bash
+tar -xzf /path/to/ADE20KPart234.tar.gz -C data/mixed_parts_data
+unzip /path/to/PartImageNet_Seg.zip -d data/mixed_parts_data
+```
+
+Extract PACO-LVIS annotations under `data/mixed_parts_data/paco_lvis/annotations`:
+
+```bash
+mkdir -p data/mixed_parts_data/paco_lvis/annotations
+unzip /path/to/paco_lvis_v1.zip -d data/mixed_parts_data/paco_lvis/annotations
+```
+
+Place COCO2017 images under `data/coco_2017`:
+
+```text
+data/coco_2017/
+├── train2017/
+└── val2017/
+```
+
+Overlay this annotation bundle into `data/mixed_parts_data`:
+
+```bash
+cp -r /path/to/MixedParts/* data/mixed_parts_data/
+```
+
+The prepared data should have this structure:
+
+```text
+data/
+├── coco_2017/
+│   ├── train2017/
+│   └── val2017/
+└── mixed_parts_data/
+    ├── mixed_parts_train.json
+    ├── mixed_parts_val.json
+    ├── mixed_parts_test.json
+    ├── ADE20KPart234/
+    │   ├── ade20k_instance_train_mixed_parts.json
+    │   ├── ade20k_instance_val_mixed_parts.json
+    │   ├── images/
+    │   └── annotations_detectron2_part/
+    ├── PartImageNet/
+    │   ├── annotations/
+    │   │   ├── train/train_mixed_parts.json
+    │   │   ├── train_whole/train_mixed_parts.json
+    │   │   ├── val/val_mixed_parts.json
+    │   │   ├── val_whole/val_mixed_parts.json
+    │   │   ├── test/test_mixed_parts.json
+    │   │   └── test_whole/test_mixed_parts.json
+    │   └── images/
+    └── paco_lvis/
+        └── annotations/
+            ├── paco_lvis_v1_train.json
+            ├── paco_lvis_v1_val.json
+            └── paco_lvis_v1_test.json
+```
+
+## Evaluation with CALICO
+
+After preparing the data, run evaluation from the CALICO repository root:
+
+```bash
+python evaluate.py \
+  --merged_ckpt_path PLAN-Lab/CALICO \
+  --dataset_dir ./data \
+  --output_save_path ./evaluate_results/calico_mixed_parts \
+  --val_dataset "MixedPartsObjectVal|MixedPartsPartVal" \
+  --multi_image_filepath_prefix ./data/mixed_parts_data/mixed_parts_test.json \
+  --mode test \
+  --compute_metrics
+```
+
+For full setup details, see the CALICO repository documentation.
+
+## Licensing and Terms
+
+This repository provides Mixed Parts annotations for research use. The underlying images and source annotations come from ADE20KPart234, PartImageNet, COCO2017, and PACO-LVIS. Users are responsible for following the licenses and terms of the upstream datasets.
+
+## Citation
+
+If you use Mixed Parts or CALICO, please cite:
+
+```bibtex
+@article{nguyen2025calico,
+  title={CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models},
+  author={Nguyen, Kiet A. and Juvekar, Adheesh and Yu, Tianjiao and Wahed, Muntasir and Lourentzou, Ismini},
+  journal={In Proceedings for the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2025}
+}
+```

mixed_parts_train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:995b536f9a4a0764e805d94f35e2e8bf6f78f3068c56fcb36850ba4d3a4574ed
+size 1042935868