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Segmonto
Object Detection
Overview
Images
4814
Dataset
31
Model
25
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-10-29 10:35am
v31
·
4 months ago
2024-10-28 5:17pm
v30
·
4 months ago
2024-10-07 8:11am
v29
·
5 months ago
2024-10-03 12:21pm
v28
·
5 months ago
2024-05-03 10:36am
v27
·
10 months ago
2024-02-19 3:15pm
v26
·
a year ago
2023-12-18 8:09am
v25
·
a year ago
2023-12-16 8:19am
v24
·
a year ago
2023-12-15 8:41pm
v23
·
a year ago
2023-12-11 11:19am
v22
·
a year ago
2023-11-27 8:30am
v21
·
a year ago
2023-11-27 8:29am
v20
·
a year ago
2023-11-22 8:41am
v19
·
a year ago
2023-11-15 3:55pm
v18
·
a year ago
2023-11-15 2:33pm
v17
·
a year ago
2023-11-14 4:54pm
v16
·
a year ago
2023-11-13 6:22pm
v15
·
a year ago
2023-11-09 8:29am
v14
·
a year ago
2023-11-03 12:56pm
v13
·
a year ago
Segmonto12
v12
·
a year ago
2023-10-23 5:39pm
v11
·
a year ago
2023-10-23 3:07pm
v10
·
a year ago
2023-10-23 9:55am
v9
·
a year ago
2023-10-23 9:21am
v8
·
a year ago
2023-10-18 10:52am
v7
·
a year ago
2023-10-18 8:43am
v6
·
a year ago
2023-10-17 6:21pm
v5
·
a year ago
2023-10-16 8:40am
v4
·
a year ago
2023-10-13 11:23am
v3
·
a year ago
2023-10-13 11:23am
v2
·
a year ago
2023-10-12 10:55am
v1
·
a year ago
v24
2023-12-16 8:19am
Generated on Dec 16, 2023
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Dataset
Popular Download Formats
YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
YOLOv9
TXT annotations and YAML config
used with
YOLOv9
.
YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
.
YOLOv7
TXT annotations and YAML config
used with
YOLOv7
.
COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
.
YOLO Darknet
Darknet TXT annotations
used with
YOLO Darknet
(both v3 and v4) and
YOLOv3 PyTorch
.
Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format
used for both
Tensorflow 1.5
and
Tensorflow 2.0 Object Detection
models.
PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format
is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
8728
Total Images
View All Images
Dataset Split
Train Set
94%
8217
Images
Valid Set
4%
341
Images
Test Set
2%
170
Images
Preprocessing
Modify Classes:
0 remapped, 0 dropped
Augmentations
Outputs per training example:
3
Rotation:
Between -3° and +3°
Shear:
±3° Horizontal, ±3° Vertical
Brightness:
Between -25% and +25%
Exposure:
Between -30% and +30%
Blur:
Up to 1.5px
Noise:
Up to 2% of pixels
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