# High-precision detection

Rtdetr V2 R50vd
Apache-2.0
RT-DETRv2 is an improved real-time object detection Transformer model that enhances performance through strategies such as selective multi-scale feature extraction and dynamic data augmentation.
Object Detection Transformers English
R
PekingU
15.77k
10
RT DETRv2
RT-DETRv2 is an improved real-time detection transformer that enhances flexibility and practicality through plug-and-play optimization schemes and achieves stronger performance with optimized training strategies.
Object Detection Transformers
R
jadechoghari
1,546
2
Visualheist Large
MIT
VisualHeist is an object detection model specifically designed to extract charts, schematics, and tables from PDF files, including titles, headers, and footers.
Object Detection PyTorch
V
shixuanleong
1,693
0
Phishing Email Detection Distilbert V2.1
Apache-2.0
This model is built based on DistilBERT. After fine-tuning, it can perform multi-label classification on emails and URLs to determine whether they are safe or have potential phishing risks.
Text Classification Transformers English
P
cybersectony
237
1
Florence 2 Large Ft Safetensors
MIT
Florence-2 is an advanced visual foundation model developed by Microsoft, employing a prompt-based architecture to unify various vision and vision-language tasks
Image-to-Text
F
mrhendrey
162
2
TF ID Base No Caption
MIT
TF-ID is a series of fine-tuned object detection models used to extract tables and images from academic papers, solving the problem of automatic recognition of tables and images in academic papers.
Image-to-Text Transformers
T
yifeihu
1,747
0
Florence 2 Large Ft
MIT
Florence-2 is an advanced vision foundation model developed by Microsoft, employing a prompt-based approach to handle various vision and vision-language tasks.
Image-to-Text Transformers
F
andito
93
4
Vit Base Violence Detection
Apache-2.0
A violence detection model optimized based on the Vision Transformer (ViT) architecture, capable of classifying images into violent or non-violent scenes.
Image Classification Transformers English
V
jaranohaal
2,140
6
Rtdetr R101vd
Apache-2.0
RT-DETR is the first real-time end-to-end object detector, achieving efficient detection through hybrid encoders and query selection mechanisms without NMS post-processing.
Object Detection Transformers English
R
PekingU
1,369
4
Yolov10s
YOLOv10 is a real-time end-to-end object detection model proposed by Tsinghua University, with significant improvements in both speed and accuracy.
Object Detection
Y
jameslahm
907
5
Yolov10
YOLOv10 is an efficient real-time object detection model without extra training costs. By optimizing architecture and training strategies, it improves detection accuracy while maintaining real-time performance.
Object Detection
Y
kadirnar
252
45
Rtdetr R34vd
Apache-2.0
RT-DETR is the first real-time end-to-end object detection Transformer model, achieving high-speed and high-precision detection through an efficient hybrid encoder and query selection mechanism
Object Detection Transformers English
R
PekingU
512
3
Mobilebert Sql Injection Detect
Apache-2.0
A lightweight model based on MobileBERT for detecting SQL injection attacks in input strings, suitable for edge computing scenarios.
Text Classification Transformers English
M
cssupport
12.97k
8
Detr Resnet 101
Apache-2.0
DETR is an end-to-end object detection model using Transformer architecture, employing ResNet-101 as the backbone network and trained on the COCO dataset.
Object Detection Transformers
D
facebook
262.94k
119
Detr Resnet 101 Dc5
Apache-2.0
DETR is an end-to-end object detection model using Transformer, employing ResNet-101 as the backbone network and trained on the COCO dataset.
Object Detection Transformers
D
facebook
9,379
18
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