Hugging Face repository for Image segmentation.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
facebook/mask2former-swin-small-coco-instance is a Hugging Face repository returned by the public Image segmentation task feed. Its recorded download count is 28,846 and it has 9 likes at the time this draft was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Image segmentation. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists transformers as its library metadata. Its recorded tags include transformers, pytorch, safetensors, mask2former, vision, image-segmentation, dataset:coco, arxiv:2112.01527. These source details are retained so an editor can trace this directory entry back to the repository instead of relying on copied descriptions.
Before approval, verify the model card, license, training data disclosures, hardware requirements, supported languages, intended use, known limitations, and any dependency or safety requirements. Test the exact workload: inputs, output format, latency, memory use, evaluation metric, and deployment environment. Do not treat downloads or likes as a substitute for measured task quality.
This is a source-backed draft. SyncDev does not infer an API offering, price, benchmark score, context limit, or commercial availability from a Hugging Face repository alone. A human editor must verify material claims, add authoritative evidence, and approve the record before it can become public or enter the sitemap.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
facebook/mask2former-swin-small-coco-instance is categorized for Image segmentation. Its current record accepts image and produces segmentation mask. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.
The directory records — context and — maximum output. Listed token prices are — input and — output per 1M tokens. Treat missing values as unknown and recheck current commercial terms.
Recorded output speed is — and time to first token is —. Hosting route, region, prompt length, concurrency, and provider load can materially change both measurements.
This page separates sourced model facts from incomplete fields. Benchmark evidence is displayed only when its source is linked and verified. Before choosing facebook/mask2former-swin-small-coco-instance, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.
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