To convert YOLO annotation to VL format visit: Converting YOLO Annotations to Visual Layer Format
Tabular Formats: Parquet / CSV
Image Annotations
For full-image class labels, create an annotation file namedimage_annotations.csv orimage_annotations.parquet. Each row in the file represents an image and its corresponding label.
Example Format:
| filename | label |
|---|---|
| IDX_DF_SIG21341_PlasmasNeg.png | IDX_DF |
| IDX_DF_ALM00324_PlasmasPos.png | IDX_DF |
| folder/IDX_RC_ALM04559_PlasmasNeg.png | IDX_RC |
- The
filenamecolumn must contain relative paths. - The
labelcolumn assigns a class to entire image. - Multiple labels can be stored as a list, e.g.,
['t-shirt', 'SKU12345']. - You may also include a
captioncolumn for textual metadata.
Example for Multiple Labels:
| filename | label |
|---|---|
| cool-tshirt.png | [“t-shirt”, “SKU12345”] |
| cool-pants.jpg | [“pants”, “SKU231312”] |
Object Annotations
For object-level annotations, create an annotation file namedobject_annotations.csv or object_annotations.parquet. Each row represents a detected object, including its bounding box coordinates and class label.
Example Format:
| filename | col_x | row_y | width | height | label |
|---|---|---|---|---|---|
| Kitti/raw/training/image_2/006149.png | 0 | 240 | 135 | 133 | Car |
| Kitti/raw/training/image_2/006149.png | 608 | 169 | 59 | 43 | Car |
col_xandrow_ydefine the top-left corner of the bounding box.widthandheightmust be greater than zero.- Each row corresponds to a single object within an image.
JSON Annotations (COCO Format)
Ensure The file is namedannotations.json.
Example JSON Format:
- Bounding boxes (
bbox) follow the format[col_x, row_y, width, height].col_xandrow_ydefine the top-left corner of the bounding box.widthandheightmust be greater than zero.
- Remove comments before uploading.
Summary of Bounding Box Formats
| Format | Representation | File Type |
|---|---|---|
| JSON (COCO) | [x_min, y_min, width, height] | .json |
| CSV(Image Labels) | [filename, label] | .csv |
| CSV(Object Labels) | filename, col_x, row_y, width, height, label | .csv |