@@ -2591,21 +2591,25 @@ dataset_object = client.find_dataset_object(
25912591 object_name = " brushwood_dog.jpg"
25922592)
25932593```
2594- You can find a object of specified revision by version or revision_id.
2594+
2595+ You can find a object of specified revision by version or revision_id.
2596+
25952597``` python
25962598dataset_object = client.find_dataset_object(
25972599 dataset_id = " YOUR_DATASET_ID" ,
25982600 object_name = " brushwood_dog.jpg" ,
25992601 version = " YOUR_VERSION_NAME" # default is "latest"
2600- )
2602+ )
26012603```
2604+
26022605``` python
26032606dataset_object = client.find_dataset_object(
26042607 dataset_id = " YOUR_DATASET_ID" ,
26052608 object_name = " brushwood_dog.jpg" ,
26062609 revision_id = " YOUR_REVISION_ID" # 8 characters or more
2607- )
2610+ )
26082611```
2612+
26092613Success response is the same as when created.
26102614
26112615### Get Dataset Object
@@ -2627,12 +2631,14 @@ dataset_objects = client.get_dataset_objects(
26272631 tags = [" cat" ],
26282632)
26292633```
2634+
26302635``` python
26312636dataset_objects = client.get_dataset_objects(
26322637 dataset = " YOUR_DATASET_NAME" ,
26332638 revision_id = " YOUR_REVISION_ID" # 8 characters or more
26342639)
26352640```
2641+
26362642### Download Dataset Objects
26372643
26382644Download dataset objects in the dataset to specific directories.
@@ -3184,7 +3190,10 @@ Execute evaluation jobs.
31843190training_job = client.execute_evaluation_job(
31853191 dataset_name = " DATASET_NAME" ,
31863192 model_name = " fastlabel_object_detection_light" ,
3187- // If you want to use the built- in model, select the following. " fastlabel_object_detection_light" or " fastlabel_object_detection_high_accuracy"
3193+ // If you want to use the built- in model, select the following.
3194+ - " fastlabel_object_detection_light"
3195+ - " fastlabel_object_detection_high_accuracy"
3196+ - " fastlabel_fcn_resnet"
31883197 // If you want to use the custom model, please fill out model name.
31893198 use_dataset_test = True ,
31903199)
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