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easychamp-player-detection-yolov8

HUGGINGFACE · Unverified

Hugging Face model aabyzov/easychamp-player-detection-yolov8. Task: object detection. Library: ultralytics. 80 downloads. 1 likes. aabyzov/easychamp-player-detection-yolov8 Hugging Face model aabyzov/easychamp-player-detection-yolov8. Task: object detection. Library: ultralytics. 80 downloads. 1 likes. Task: object-detection Tags: ultralytics, yolov8, object-detection, soccer, football, sports-analytics, player-detection, en, dataset:custom, license:mit, model-index Source: https://huggingface.co/models/aabyzov/easychamp-player-detection-yolov8

37
Rank
80
Safety
80
Downloads
1
Likes

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 80 downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Install and run

Setup complexity: low.

  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/hf-model-aabyzov-easychamp-player-detection-yolov8-1gtkba9-15/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

HUGGINGFACE

426 characters of source documentation, loaded on request.

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