Update README.md

README.md

@@ -17,25 +17,40 @@ pinned: false
 </div>
 
 <div align="center">
-  <h2> Want to contribute? </h2>
+  <h1> Want to contribute? </h1>
 </div>
 
 - 🥙 For naming models, spaces, datasets, and metrics, employ [kebab-case](https://en.wiktionary.org/wiki/kebab_case). Use lowercase letters, except for acronyms, which may be capitalized.
 - 🔒 Please mind about making the models, spaces and datasets public or private. Metrics can (and have to) be public.
 - 🤐 Do not expose passwords or tokens, use [secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets).
 
+<div align="center">
+  <h1> Looking for metrics? </h1>
+</div>
+
+- https://huggingface.co/spaces/SEA-AI/det-metrics
+  - Object detection metrics based on [`pycocotools`](https://github.com/cocodataset/cocoapi) and [torchmetrics' Mean Avergae Precision](https://lightning.ai/docs/torchmetrics/stable/detection/mean_average_precision.html).
+- https://huggingface.co/spaces/SEA-AI/box-metrics
+  - Bounding box statistics, including IOU, BEP (bottom edge proximity), and others.
+- https://huggingface.co/spaces/SEA-AI/horizon-metrics
+  - Comparing horizons in an image w.r.t their midpoint and slope errors
+- https://huggingface.co/spaces/SEA-AI/mot-metrics
+  - Multi-object-tracking metrics using [`py-motmetrics`](https://github.com/cheind/py-motmetrics) 
+- https://huggingface.co/spaces/SEA-AI/panoptic-quality
+  - Evaluating panoptic models
+ 
 <details>
-  <summary>Structure. (Click to expand)</summary>
+  <summary>Proposed Metric Output Structure</summary>
 
 Your metric should have the following structure:
-- ```_compute(references, predictions)```
-  - Calls a metric engine, defined for example in the ```seametrics``` package, or other
-- ```compute_from_payload(paylaod)```
-  - Call the ```module.compute``` method internally after converting payload -> references, predictions
-- All the metric's parameters, such as iou_threshold, area_ranges, etc.. should be moved to the ```__init__``` method.
+- `_compute(references, predictions)`
+  - Calls a metric engine, defined for example in the `seametrics` package, or other
+- `compute_from_payload(paylaod)`
+  - Call the `module.compute` method internally after converting payload -> references, predictions
+- All the metric's parameters, such as `iou_threshold`, `area_ranges`, etc.. should be moved to the `__init__` method.
 - Output should look like this:
-    ```json
-    {
+```json
+{
     "ahoy_IR_b2_engine_3_6_0_49_gd81d3b63_oversea": {
         "overall": {
             "all": {
@@ -74,21 +89,7 @@ Your metric should have the following structure:
             }
         }
     }
-}```
-
-</details>
+}
+```
 
-<div align="center">
-  <h2> Looking for metrics? </h2>
-</div>
-
-- https://huggingface.co/spaces/SEA-AI/det-metrics
-  - Object detection metrics based on [`pycocotools`](https://github.com/cocodataset/cocoapi) and [torchmetrics' Mean Avergae Precision](https://lightning.ai/docs/torchmetrics/stable/detection/mean_average_precision.html).
-- https://huggingface.co/spaces/SEA-AI/box-metrics
-  - Bounding box statistics, including IOU, BEP (bottom edge proximity), and others.
-- https://huggingface.co/spaces/SEA-AI/horizon-metrics
-  - Comparing horizons in an image w.r.t their midpoint and slope errors
-- https://huggingface.co/spaces/SEA-AI/mot-metrics
-  - Multi-object-tracking metrics using [`py-motmetrics`](https://github.com/cheind/py-motmetrics) 
-- https://huggingface.co/spaces/SEA-AI/panoptic-quality
-  - Evaluating panoptic models
+</details>