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turhancan97/
visbench-detection-dinov2_vitb14

Name: visbench-detection-dinov2_vitb14
Availability: InStock

visbench

probing

detection

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detection probe for `dinov2_vitb14`

A trained probe head, not a backbone. It is the small module VisBench fits on top of frozen dinov2_vitb14 features to measure what those features carry.

python

import visbench
from visbench.hub import load_probe_from_hub

backbone = visbench.get_backbone("dinov2_vitb14")
probe = load_probe_from_hub("turhancan97/visbench-detection-dinov2_vitb14", backbone=backbone)

It only works with this backbone

These weights were fitted on features from dinov2_vitb14, taken with pooling=mean and feature_mode=dense_only. Loading them against anything else is refused, because the failure is otherwise silent: a head fitted on one pooling and fed another has the right shapes and produces a plausible, wrong number.


backbone	`dinov2_vitb14`
backbone key	`dinov2/dinov2_vitb14/224/7764ea0f912e`
task	`detection` (high_level)
pooling	`mean` (requested `mean`)
feature mode	`dense_only`
layers	`None`

Reported scores

metric	value
`classes_scored`	20.0000
`detections_per_image`	88.5717
`map_50`	0.2897
`map_50_95`	0.0988

Reproducing it

Fitted with:

batch_size: 8
box_weight: 2.0
epochs: 10
focal_alpha: 0.25
focal_gamma: 2.0
head: detection
hidden_dim: 0
image_size: 224
iou_thresholds: [0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95]
lr: 0.0005
max_detections: 100
nms_iou: 0.5
num_classes: 20
optimizer: adamw
protocol: visbench_anchor_free_det
score_threshold: 0.05
warmup_epochs: 1.5
weight_decay: 0.0001

Generated by VisBench.

turhancan97/visbench-detection-dinov2_vitb14

detection probe for dinov2_vitb14

It only works with this backbone

Reproducing it

turhancan97/
visbench-detection-dinov2_vitb14

detection probe for `dinov2_vitb14`