Screenshot of a simple app showing bounding boxes for photographs detected in historic newspaper images.
hf jobs uv run \ --flavor a100-large \ -s HF_TOKEN=HF_TOKEN \ https://huggingface.co/datasets/uv-scripts/sam3/raw/main/detect-objects.py \ -- davanstrien/newspapers-with-images-after-photography-big \ davanstrien/newspapers-photo-predictions \ --class-name "photograph" \ --confidence-threshold 0.4
Building datasets to train smaller, task-focused models used to be incredibly time-consuming.
Very excited to see SAM3 massively lower that barrier. Describe the class you want to detect and get annotated datasets automatically!
Try it yourself: huggingface.co/datasets/uv-...!