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README.md

@@ -16,27 +16,35 @@ dataset_info:
       sequence: int64
     - name: class_descriptions
       sequence: string
+    - name: objects
+      struct:
+        - name: bbox
+          sequence:
+            sequence: float64
+        - name: category
+          sequence: int64
 configs:
-- config_name: default
-  data_files:
-    - split: train
-      path: "parquet_data/train-*"
-    - split: validation
-      path: "parquet_data/val-*"
-    - split: test
-      path: "parquet_data/test-*"
+  - config_name: default
+    data_files:
+      - split: train
+        path: parquet_data/train-*
+      - split: validation
+        path: parquet_data/val-*
+      - split: test
+        path: parquet_data/test-*
 tags:
-- counting
-- synthetic
-- computer-vision
-- open-vocabulary
-- segmentation
+  - counting
+  - synthetic
+  - computer-vision
+  - open-vocabulary
+  - segmentation
 pretty_name: MixCount
 task_categories:
-- image-classification
-- object-detection
+  - image-classification
+  - object-detection
 ---
 
+
 # The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
 
 <p align="center">
@@ -150,14 +158,14 @@ MixCount combines the scale of synthetic datasets with the photorealism of real-
 
 <div class="mixcount-compare-wrap">
 
-| | FSC-147 | PairTally | MCAC / SITUATE | **MixCount** |
+| | FSC-147 | PairTally | MCAC | **MixCount** |
 |---|:---:|:---:|:---:|:---:|
 | Multiple object types per image | | ✓ | ✓ | **✓** |
 | Fine-grained text prompts | | ✓ | | **✓** |
 | External visual exemplars | | | | **✓** |
 | Segmentation & bounding boxes | | | ✓ | **✓** |
-| # images | 6,135 | 681 | 6.9K–20K | **58,000** |
-| # object classes | 147 | 98 | 4–343 | **1,522** |
+| # images | 6,135 | 681 | 20K | **58,000** |
+| # object classes | 147 | 98 | 343 | **1,522** |
 
 </div>
 

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