trained/conv_deep/eval.json

{
  "head": "conv_deep_256h_10b",
  "params": 911960,
  "step": 12000,
  "architecture": "768->256 stem + 10 residual ConvBlocks (pointwise+GELU+DWConv3x3+GroupNorm) + output heads",
  "n_images": 5000,
  "mAP_0.5_0.95": 0.1721,
  "mAP_0.50": 0.2563,
  "mAP_0.75": 0.1921,
  "mAP_medium": 0.293,
  "mAP_large": 0.27,
  "AR_100": 0.483,
  "AR_large": 0.768
}