Sturgeon Training Image Dataset
Versions
2023-02-06 5:22pm
v12
Feb 6, 2023
2022-11-23 3:51pm
v11
Nov 23, 2022
2022-11-17 12:12pm
v10
Nov 17, 2022
2022-11-08 12:11pm
v9
Nov 8, 2022
2022-11-08 12:07pm
v8
Nov 8, 2022
2022-11-06 11:19pm
v7
Nov 7, 2022
2021-10-31 6:56pm
v6
Oct 31, 2021
2021-10-28 4:55pm
v5
Oct 28, 2021
2021-10-28 4:53pm
v4
Oct 28, 2021
2021-10-18 6:25pm
v3
Oct 18, 2021
2021-10-12 6:38pm
v2
Oct 12, 2021
sturgeon_training_01
v1
Sep 29, 2021
v5
2021-10-28 4:55pm
Generated on Oct 28, 2021
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2555 Total Images
View All Images
Dataset Split
Train Set 89%
2274Images
Valid Set 11%
281Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -25° and +25°
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