The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
video_id: string
frame_idx: int64
timestamp_sec: int64
class_label: string
confidence_score: double
x_min: double
y_min: double
x_max: double
y_max: double
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1128
to
{'query_timestamp': Value('large_string'), 'start_timestamp': Value('int64'), 'end_timestamp': Value('int64'), 'class_label': Value('large_string'), 'number_of_supporting_detections': Value('int64'), 'verify_url': Value('large_string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2083, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 180, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 143, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
video_id: string
frame_idx: int64
timestamp_sec: int64
class_label: string
confidence_score: double
x_min: double
y_min: double
x_max: double
y_max: double
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1128
to
{'query_timestamp': Value('large_string'), 'start_timestamp': Value('int64'), 'end_timestamp': Value('int64'), 'class_label': Value('large_string'), 'number_of_supporting_detections': Value('int64'), 'verify_url': Value('large_string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
RAV4 Video Detections
Object detection index and image-to-video retrieval results for the Toyota RAV4 exterior video (YcvECxtXoxQ).
Files
| File | Description |
|---|---|
video_detections.parquet |
All car-part detections from the video corpus (92 rows) |
retrieval_results.parquet |
Retrieval results matching query images to video segments (72 rows) |
Schema: video_detections.parquet
| Column | Type | Description |
|---|---|---|
video_id |
string | YouTube video ID (YcvECxtXoxQ) |
frame_idx |
int | Sampled frame number |
timestamp_sec |
int | Time position in seconds (120–164, clip from 2:00–2:45) |
class_label |
string | Detected car part class (e.g. wheel, hood, front_bumper) |
confidence_score |
float | Detector confidence (0–1) |
x_min |
float | Bounding box left edge (pixels) |
y_min |
float | Bounding box top edge (pixels) |
x_max |
float | Bounding box right edge (pixels) |
y_max |
float | Bounding box bottom edge (pixels) |
Schema: retrieval_results.parquet
| Column | Type | Description |
|---|---|---|
query_index |
int | Index of the query image in aegean-ai/rav4-exterior-images |
query_timestamp |
string | Timestamp of the query image (e.g. 00:05) |
start_timestamp |
int | Start of matched video segment (seconds) |
end_timestamp |
int | End of matched video segment (seconds) |
class_label |
string | Car part classes shared between query and video |
number_of_supporting_detections |
int | Number of video frame detections supporting the match |
verify_url |
string | YouTube embed URL to verify the matched segment |
Detector
- Model: YOLOv8n-seg (Ultralytics), fine-tuned on
carparts-segdataset - Training: 50 epochs, 640px, Google Colab T4 GPU — mAP50: 69.3% (box), 71.0% (mask)
- Car part classes: back_bumper, front_bumper, hood, wheel, front_door, back_door, front_glass, back_glass, front_light, back_light, mirrors, trunk, tailgate, and others (23 total)
- Confidence threshold: 0.5
- Video sampling: 1 frame/second from a 45-second clip (2:00–2:45)
Query Dataset
Query images sourced from aegean-ai/rav4-exterior-images.
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