Sturgeon Training Dataset
Versions
2023-02-06 5:22pm
v12
· 2 years ago
2022-11-23 3:51pm
v11
· 2 years ago
2022-11-17 12:12pm
v10
· 2 years ago
2022-11-08 12:11pm
v9
· 2 years ago
2022-11-08 12:07pm
v8
· 2 years ago
2022-11-06 11:19pm
v7
· 2 years ago
2021-10-31 6:56pm
v6
· 3 years ago
2021-10-28 4:55pm
v5
· 3 years ago
2021-10-28 4:53pm
v4
· 3 years ago
2021-10-18 6:25pm
v3
· 3 years ago
2021-10-12 6:38pm
v2
· 3 years ago
sturgeon_training_01
v1
· 3 years ago
v7
2022-11-06 11:19pm
Generated on Nov 7, 2022
Popular Download Formats
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.
3394 Total Images
View All ImagesDataset Split
Train Set 87%
2964Images
Valid Set 13%
430Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -25° and +25°