Small Objective Labeling Enhancement Program
For the problem of difficulty in labeling small objects <50px in an image, the following combination of techniques is suggested:
Hardware-level solutions
- Display setup: 4K monitor + 200% scaling
- Auxiliary tool: integrated LabelIMG for pre-labeling
algorithmic optimization
- Super-resolution pre-processing:
python enhance.py --input small_obj.jpg --scale 4
- Three-stage amplification labeling method:
- Start by marking the general area with a box
- Use point labeling after local zoom
- Finalized in graffiti mode
- Fine-tune the SAM parameters:
--pred_iou_thresh 0.95 --stability_score_thresh 0.92
Quality Control Strategy
- Implementation of a double validation mechanism:
- Initial description of DAM generation
- DLC-Bench for confidence scores (≥ 0.85 required)
- Typical Success Stories:
"图像右上角3×3像素的二维码，包含17个定位点，版本号为V2"
This answer comes from the articleDescribe Anything: Open source tool for generating detailed descriptions of images and video regionsThe
May not be reproduced without permission:AI productivity tools " How to overcome small target recognition challenges in data annotation?
