update

README.md

@@ -100,7 +100,6 @@ COCO is a large-scale object detection, segmentation, and captioning dataset.
 ### Supported Tasks and Leaderboards
 
 [Object Detection](https://huggingface.co/tasks/object-detection)
-[Image Segmentation](https://huggingface.co/tasks/image-segmentation)
 
 ### Languages
 
@@ -115,12 +114,17 @@ An example looks as follows.
 ```
 {
     "image": PIL.Image(mode="RGB"),
-    "captions": [
-        "Closeup of bins of food that include broccoli and bread.",
-        "A meal is presented in brightly colored plastic trays.",
-        "there are containers filled with different kinds of foods",
-        "Colorful dishes holding meat, vegetables, fruit, and bread.",
-        "A bunch of trays that have different food."
+    "bboxes": [
+        [339.8800048828125, 22.15999984741211,
+            153.8800048828125, 300.7300109863281],
+        [471.6400146484375, 172.82000732421875,
+            35.91999816894531, 48.099998474121094]],
+    "keypoints": [[
+        [368, 61, 1], [369, 52, 2], [0, 0, 0], [382, 48, 2], [0, 0, 0],
+        [368, 84, 2], [435, 81, 2], [362, 125, 2], [446, 125, 2], [360, 153, 2],
+        [0, 0, 0], [397, 167, 1], [439, 166, 1], [369, 193, 2], [461, 234, 2],
+        [361, 246, 2], [474, 287, 2]
+      ], [[...]]
     ]
 }
 ```