Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found fish-tracking-dataset.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found fish-tracking-dataset.py

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Fish Tracking - Object Detection dataset

The collection of video frames, capturing various types of fish swimming in the water. The dataset includes fish of different colors, sizes and with different swimming speeds.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset

Data Format

Each video frame from images folder is paired with an annotations.xml file that meticulously defines the tracking of each fish using bouunding boxes.

The data labeling is visualized in the boxes folder.

Example of the XML-file

Object tracking might be made in accordance with your requirements.

💴 Buy the Dataset: This is just an example of the data. Leave a request on our website to discuss your requirements, learn about the price and buy the dataset

Leave a request on our website to discuss your requirements, learn about the price and buy the dataset.

Our Team

keywords: animal recognition, animal detection, farming, fish recognition, fish detection, image-based recognition, fish images dataset, object detection, object tracking, deep learning, computer vision, animal contacts, images dataset, agriculture, fish species annotations, fish pond, pond water, sea, fish farms, environment, aquaculture production, bounding boxes

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