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Anonymous builderabout 2 hours agoJudging locked: Event build

VASTCAM

VAST CAM uses VAST AI OS to build targeted video datasets for training camera-specific models that predict warehouse collisions before impact.

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Project description
VAST CAM connects video data extraction with camera-specific model training. A dataset agent queries VAST AI OS, reviews video evidence, and extracts short pre-event clips with boolean labels indicating whether a person–robot or person–forklift collision follows. We then use this dataset for supervised fine-tuning of Qwen3.6-27B. The goal is to turn a short clip from a fixed warehouse camera into a probability of collision within the next few seconds. The model sees only the lead-up footage; future footage is used solely to determine the training label.
Project links
Tools used
  • VDVAST Data
  • S(SpaceXAI (Cursor)
  • C(CoreWeave (Weights & Biases)
  • NNVIDIA
Visit project websiteWatch demo videoProject gallery
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • VDVAST Data
  • S(SpaceXAI (Cursor)
  • C(CoreWeave (Weights & Biases)
  • NNVIDIA