chore: Updated threshold from 501 to 100 on OD results upload (#723)

* Updated threshold from 501 to 100 on OD results upload

* bump od examp test to large instance

---------

Co-authored-by: Nan Wei <nan@kolena.io>

Author: brianshen3

.circleci/continue_config.yml

@@ -441,15 +441,15 @@ workflows:
       - example-test-dataset:
           matrix:
             parameters:
-              subproject: [ text_summarization, image_retrieval_by_text ]
+              subproject: [ text_summarization, image_retrieval_by_text, object_detection_2d ]
               resource-class: [ large ]
               python-version: [ "3.9.18" ]
       - example-test-dataset:
           context:
             - aws
           matrix:
             parameters:
-              subproject: [ age_estimation, automatic_speech_recognition, classification, keypoint_detection, question_answering, rain_forecast, semantic_segmentation, speaker_diarization, object_detection_2d, semantic_textual_similarity, person_detection, crossing_pedestrian_detection, named_entity_recognition ]
+              subproject: [ age_estimation, automatic_speech_recognition, classification, keypoint_detection, question_answering, rain_forecast, semantic_segmentation, speaker_diarization, semantic_textual_similarity, person_detection, crossing_pedestrian_detection, named_entity_recognition ]
               resource-class: [ small ]
               python-version: [ "3.9.18" ]
       - example-test-workflow:

kolena/_experimental/object_detection/dataset.py

@@ -276,8 +276,8 @@ def _compute_metrics(
         )
         all_thresholds.extend(inf.score for inf in inferences)
 
-    if len(all_thresholds) >= 501:
-        all_thresholds = list(np.linspace(min(all_thresholds), max(all_thresholds), 501))
+    if len(all_thresholds) >= 100:
+        all_thresholds = list(np.linspace(min(all_thresholds), max(all_thresholds), 100))
     else:
         all_thresholds = sorted(all_thresholds)