pollinator-frame-folders
All format examples · Machine-readable schema · Convert outputs to COCO
Directory illustration, not JSON emitted by the author. Saved JPEGs do not provide a machine-readable detection table.
Example
Illustrative values, not predictions from a model. Unless stated otherwise, the image is 200 pixels wide and 100 pixels high.
Readable projection: arrays and objects below illustrate the contents. The author returns Python objects/tensors or files, rather than this JSON document.
{
"with_object": {},
"without_object": {
"frame_000001_time_00-00-00.jpg": "\u003cJPEG file\u003e"
}
}Convert to a standard format
This format is documented, but a conversion adapter is not yet registered.
General conversion example and required context
How to interpret it
Boxes: The internal YOLOv5 Detections object is not exported. Above-threshold boxes and class/confidence labels are drawn on frames before JPEG saving.
Representation: Structure describes directories within one run folder, named <video-stem>_<run-timestamp>. Each directory maps frame_<six-digit-frame>_time_<HH-MM-SS>.jpg filenames to JPEG files. T[object] expresses the variable directory entries, not a JSON export; no JPEG pixel layout is prescribed here.