With continuous evaluation of AI Platform, data_json_key
error occurs.
Evaluation Job Inputs
- Model objective: Image object detection (box)
- IoU (Intersection over Union): 0.1
- Data key: b64
- Prediction label key: detection_classes
- Prediction score key: detection_scores
- Bounding box key: detection_boxes
- Labeling Service: No
- Daily sample percentage: 100%
- Daily sample limit: 100
Error log
Partial Failures: [{"code":5,"message":"Can not find the image data under the data_json_key: image_bytes/b64"},{"code":5,"message":"Can not find the image data under the data_json_key: image_bytes/b64"},{"code":5,"message":"Can not find the image data under the data_json_key: image_bytes/b64"},{"message":"Found incorrect number of labeled dataset when preparing evaluation for dataset_id: 5ee3023a_0000_25e5_a9d2_94eb2c19321a"}]
I have data_json_key
set to b64
and I think this is the correct predictive key for the model. However, the job returns an error as if it were expecting image_bytes/b64
.
Supplement
The model is made by transfer learning ssd_mobilenetv2_oidv4
*1 with TensorFlow Object Detection API according to this method*2.