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object_cctv
A 37-class CCTV-oriented object-detection dataset derived from Object365 by remapping its 365 categories many-to-one onto a CCTV taxonomy.
- Images are copied verbatim (no re-encoding) from Object365.
- All source images are retained; images whose annotations did not map to a CCTV class have an empty annotation list, reserved for later labeling of classes Object365 cannot supervise (faces, weapon sub-types, reptiles, …).
Annotation fields
| Field | Type | Description |
|---|---|---|
| category_id | int | CCTV class index (0-indexed, see categories.json) |
| bbox | [x,y,w,h] | Bounding box (COCO format, absolute px) |
| area | float | Box area |
| iscrowd | int | 0/1 |
| segmentation | dict or null | COCO compressed RLE (size, counts) sourced from allenai/WildDet3D-Data; null when no SAM2 mask was available |
Usage
from datasets import load_dataset
ds = load_dataset("surenreddy/object_cctv", split="train")
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