ValueError when checking input: expected input_image_meta to have shape (14,) but got array with shape (15,)

I’m training my model on google colab, but it did not pass 1 Epoch 1/300

Using resnet50 as network backbone For Mask R-CNN model
Applying Default Augmentation on Dataset
Train 300 images
Validate 55 images
Checkpoint Path: /content/mask_rcnn_models
Selecting layers to train
Epoch 1/300
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-7-dd1acad94c9d> in <module>()
      8 train_maskrcnn.load_pretrained_model("mask_rcnn_coco.h5")
      9 train_maskrcnn.load_dataset("fingerlings")
---> 10 train_maskrcnn.train_model(num_epochs = 300, augmentation=True,  path_trained_models = "mask_rcnn_models")

8 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training_utils_v1.py in standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
    538                              ': expected ' + names[i] + ' to have shape ' +
    539                              str(shape) + ' but got array with shape ' +
--> 540                              str(data_shape))
    541   return data
    542 

ValueError: Error when checking input: expected input_image_meta to have shape (14,) but got array with shape (15,)

I don’t know what is really wrong. i’ve been on it for hours.

[alic-xc]

Yes, you’re correct. I made a mistake while annotating my images. i have fixed it

[doubletaro]

The problem is the type is not the correct count.