facebookresearch/deepmask

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

3099 stars · 499 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Torch (Lua) implementation of the DeepMask and SharpMask object proposal algorithms from Facebook AI Research. It generates class-agnostic object segmentation masks for images, usable as a first stage for object detection pipelines.

Use cases

• generate object segmentation proposals for images
• run pretrained DeepMask/SharpMask models on COCO images
• produce class-agnostic masks as input to object detection
• reproduce research results from the DeepMask and SharpMask papers
• compare mask proposal quality with top-down refinement

When to choose

• you need to reproduce DeepMask/SharpMask research results
• you are already working in the Torch (Lua) ecosystem
• you need object proposals for a detection pipeline built around these models

When to avoid

• you want a maintained library with active support
• you prefer PyTorch or modern deep learning frameworks
• you need fast inference in production
• you work on Windows or without an NVIDIA GPU

Facets

library · maturity abandoned

machine-learning computer-vision image-processing computer-vision deep-learning image-processing lua object-proposals instance-segmentation torch deepmask sharpmask research-code linux macos gpu

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markdown · JSON · MCP: product_card(name="facebookresearch/deepmask")