diff --git a/challenge_config.yaml b/challenge_config.yaml
index ede451a..31cb429 100755
--- a/challenge_config.yaml
+++ b/challenge_config.yaml
@@ -1,35 +1,83 @@
 # If you are not sure what all these fields mean, please refer our documentation here:
 # https://evalai.readthedocs.io/en/latest/configuration.html
-title: Random Number Generator Challenge
-short_description: Random number generation challenge for each submission
+title: Object Instance Detection @ ACCV2024
+short_description: Instance Detection
 description: templates/description.html
 evaluation_details: templates/evaluation_details.html
 terms_and_conditions: templates/terms_and_conditions.html
 image: logo.jpg
 submission_guidelines: templates/submission_guidelines.html
-leaderboard_description: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras egestas a libero nec sagittis.
+leaderboard_description: View the Real-world instance detection leaderboard here. For all metrics, higher number means better performance. We rank methods w.r.t the primary metric, i.e., AP.
 evaluation_script: evaluation_script.zip
 remote_evaluation: False
 is_docker_based: False
-start_date: 2019-01-01 00:00:00
-end_date: 2099-05-31 23:59:59
+start_date: 2024-08-10 00:00:00
+end_date: 2099-10-25 23:59:59
 published: True
 
 leaderboard:
   - id: 1
     schema:
       {
-        "labels": ["Metric1", "Metric2", "Metric3", "Total"],
-        "default_order_by": "Total",
+        "labels": ["AP", "AP50", "AP75", "AP_easy", "AP_hard", "AP_small", "AP_medium", "AP_large", "AR_1", "AR_10", "AR_100", "AR_small", "AR_medium", "AR_large"],
+        "default_order_by": "AP",
         "metadata": {
-          "Metric1": {
-            "sort_ascending": True,
-            "description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit.",
+          "AP": {
+            "sort_ascending": False,
+            "description": "AP averages the precision over all instances at IoU threshold from 0.5 to 0.95 with the step size 0.05.",
+          },
+          "AP50": {
+            "sort_ascending": False,
+            "description": "AP50 is the precision averaged over all instances with IoU threshold as 0.5.",
+          },
+          "AP75": {
+            "sort_ascending": False,
+            "description": "AP75 is the precision averaged over all instances with IoU threshold as 0.75.",
+          },
+          "AP_easy": {
+            "sort_ascending": False,
+            "description": "AP_easy is the AP on <i>easy</i> scene images.",
+          }, 
+          "AP_hard": {
+            "sort_ascending": False,
+            "description": "AP_easy is the AP on <i>hard</i> scene images.",
+          },  
+          "AP_small": {
+            "sort_ascending": False,
+            "description": "AP_easy is the AP on <i>small</i> object instances.",
+          },
+          "AP_medium": {
+            "sort_ascending": False,
+            "description": "AP_medium is the AP on <i>medium</i> object instances.",
+          },
+          "AP_large": {
+            "sort_ascending": False,
+            "description": "AP_hard is the AP on <i>hard</i> object instances.",
+          },
+          "AR_1": {
+            "sort_ascending": False,
+            "description": "AR averages the proposal recall at IoU threshold from 0.5 to 1.0 with the step size 0.05, given 1 detection per image.",
+          },
+          "AR_10": {
+            "sort_ascending": False,
+            "description": "AR averages the proposal recall at IoU threshold from 0.5 to 1.0 with the step size 0.05, given 10 detection per image.",
+          },
+          "AR_100": {
+            "sort_ascending": False,
+            "description": "AR averages the proposal recall at IoU threshold from 0.5 to 1.0 with the step size 0.05, given 100 detection per image.",
+          },
+          "AR_small": {
+            "sort_ascending": False,
+            "description": "AR averages the proposal recall at IoU threshold from 0.5 to 1.0 with the step size 0.05, for small instances.",
+          },
+          "AR_medium": {
+            "sort_ascending": False,
+            "description": "AR averages the proposal recall at IoU threshold from 0.5 to 1.0 with the step size 0.05, for medium instances.",
+          },
+          "AR_large": {
+            "sort_ascending": False,
+            "description": "AR averages the proposal recall at IoU threshold from 0.5 to 1.0 with the step size 0.05, for large instances.",
           },
-          "Metric2": {
-            "sort_ascending": True,
-            "description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit.",
-          }
         }
       }
 
@@ -40,8 +88,8 @@ challenge_phases:
     leaderboard_public: False
     is_public: True
     is_submission_public: True
-    start_date: 2019-01-19 00:00:00
-    end_date: 2099-04-25 23:59:59
+    start_date: 2024-08-10 00:00:00
+    end_date: 2099-10-25 23:59:59
     test_annotation_file: annotations/test_annotations_devsplit.json
     codename: dev
     max_submissions_per_day: 5
@@ -57,22 +105,25 @@ challenge_phases:
       - name: publication_url
         is_visible: True
     submission_meta_attributes:
-      - name: TextAttribute
-        description: Sample
+      - name: Did you use any pertained models, e.g., vision-language models (CLIP), vision models (DINOv2), etc?
+        description: Yes or No? If Yes, what models?
         type: text
-        required: False
-      - name: SingleOptionAttribute
-        description: Sample
-        type: radio
-        options: ["A", "B", "C"]
-      - name: MultipleChoiceAttribute
-        description: Sample
-        type: checkbox
-        options: ["alpha", "beta", "gamma"]
-      - name: TrueFalseField
-        description: Sample
+        required: True
+      - name: Did you use additional training data, e.g., any data collected by yourself?
+        description: Yes or No? If Yes, what data?
+        type: text
+      - name: What types of GPUs did you use (e.g., Nvidia 3080) and how many GPUs did you use?
+        description: None
+        type: text
+        required: True
+      - name: If you are invited to present your work at our workshop, do you agree to submit a report and open-source your code for our verification?
+        description: Yes or No?
         type: boolean
         required: True
+      - name: Any remarks?
+        description: Please let us know any other info you want to share!
+        type: text
+        required: False
     is_restricted_to_select_one_submission: False
     is_partial_submission_evaluation_enabled: False
     allowed_submission_file_types: ".json, .zip, .txt, .tsv, .gz, .csv, .h5, .npy, .npz"
@@ -82,8 +133,8 @@ challenge_phases:
     leaderboard_public: True
     is_public: True
     is_submission_public: True
-    start_date: 2019-01-01 00:00:00
-    end_date: 2099-05-24 23:59:59
+    start_date: 2024-10-10 00:00:00
+    end_date: 2099-11-25 23:59:59
     test_annotation_file: annotations/test_annotations_testsplit.json
     codename: test
     max_submissions_per_day: 5
@@ -99,27 +150,32 @@ challenge_phases:
       - name: publication_url
         is_visible: True
     submission_meta_attributes:
-      - name: TextAttribute
-        description: Sample
+      - name: Did you use any pertained models, e.g., vision-language models (CLIP), vision models (DINOv2), etc?
+        description: Yes or No? If Yes, what models?
+        type: text
+        required: True
+      - name: Did you use additional training data, e.g., any data collected by yourself?
+        description: Yes or No? If Yes, what data?
+        type: text
+      - name: What types of GPUs did you use (e.g., Nvidia 3080) and how many GPUs did you use?
+        description: None
         type: text
-      - name: SingleOptionAttribute
-        description: Sample
-        type: radio
-        options: ["A", "B", "C"]
-      - name: MultipleChoiceAttribute
-        description: Sample
-        type: checkbox
-        options: ["alpha", "beta", "gamma"]
-      - name: TrueFalseField
-        description: Sample
+        required: True
+      - name: If you are invited to present your work at our workshop, do you agree to submit a report and open-source your code for our verification?
+        description: Yes or No?
         type: boolean
+        required: True
+      - name: Any remarks?
+        description: Please let us know any other info you want to share!
+        type: text
+        required: False
     is_restricted_to_select_one_submission: False
     is_partial_submission_evaluation_enabled: False
 
 dataset_splits:
   - id: 1
-    name: Train Split
-    codename: train_split
+    name: Dev Split
+    codename: val_split
   - id: 2
     name: Test Split
     codename: test_split
@@ -128,18 +184,18 @@ challenge_phase_splits:
   - challenge_phase_id: 1
     leaderboard_id: 1
     dataset_split_id: 1
-    visibility: 1
-    leaderboard_decimal_precision: 2
+    visibility: 3
+    leaderboard_decimal_precision: 3
     is_leaderboard_order_descending: True
   - challenge_phase_id: 2
     leaderboard_id: 1
     dataset_split_id: 1
-    visibility: 3
+    visibility: 1
     leaderboard_decimal_precision: 2
     is_leaderboard_order_descending: True
   - challenge_phase_id: 2
     leaderboard_id: 1
     dataset_split_id: 2
-    visibility: 1
-    leaderboard_decimal_precision: 2
+    visibility: 3
+    leaderboard_decimal_precision: 3
     is_leaderboard_order_descending: True