Workload fit
PekingU/rtdetr_r101vd_coco_o365 is categorized for Object detection. Its current record accepts image and produces bounding boxes. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.
PekingU/rtdetr_r101vd_coco_o365 is a source-linked Hugging Face repository assigned to Object detection. Its recorded task interface accepts image and produces bounding boxes.
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
PekingU/rtdetr_r101vd_coco_o365 is a Hugging Face repository returned by the public Object detection task feed. Its recorded download count is 405,736 and it has 19 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 Object detection. 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, safetensors, rt_detr, object-detection, vision, en, dataset:coco, arxiv:2304.08069. 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.
The Hugging Face task assignment records image as input and bounding boxes as output for PekingU/rtdetr_r101vd_coco_o365. This interface summary comes from the repository’s recorded Object detection task classification. It helps readers distinguish a text, image, audio, video, document, embedding, or prediction workflow without inferring undocumented API behavior. Model wrappers can expose different preprocessing and response formats, so verify the upstream model card and the exact runtime before deployment.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
PekingU/rtdetr_r101vd_coco_o365 is categorized for Object detection. Its current record accepts image and produces bounding boxes. 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 PekingU/rtdetr_r101vd_coco_o365, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.
Related approved models in Object detection. Compare specifications and verify fit for your workload.
AnnaZhang
AnnaZhang/lwdetr_small_60e_coco is a source-linked Hugging Face repository assigned to Object detection. Its recorded task interface accepts image and produces bounding boxes.
Anzhc
Anzhc/Anzhcs_YOLOs is a source-linked Hugging Face repository assigned to Object detection. Its recorded task interface accepts image and produces bounding boxes.
Aryn
Aryn/deformable-detr-DocLayNet is a source-linked Hugging Face repository assigned to Object detection. Its recorded task interface accepts image and produces bounding boxes.
ayushgupta7777
Hugging Face repository for Object detection.
datalab-to
Hugging Face repository for Object detection.
disco-eth
Hugging Face repository for Object detection.