Astra Vision V1

Construction site safety & material detection โ€” detects 8 classes: steel bar, cement bags, concrete blocks, red bricks, no helmet, no safety vest, helmet, safety vest.

Class AP
cement_bags 77.2%
red bricks 64.8%
helmet 49.2%
safety_vest 47.4%
steel bar 39.4%
no_helmet 39.4%
concrete_blocks 38.7%
no_safety_vest 21.8%

mAP: 47.23% (AP@IoU=0.50:0.95) on 10,865 validation images
Architecture: YOLOX-S (9.90M params)
Input: 640x640

Usage

import torch
ckpt = torch.load("astra_vision_v1_best.pth", map_location="cpu")
model.load_state_dict(ckpt["model"])

Training

  • 50 epochs, batch size 8, SGD optimizer
  • CIoU loss, cosine LR schedule
  • 51,970 train + 10,865 val images (1,580,827 annotations)
  • NVIDIA RTX 3060 12GB

Links

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Space using Astramaan/astra-vision 1