stgo_yolo Image Dataset
Versions
2023-12-21 4:34pm
v10
· 6 months ago
2023-12-10 4:30pm
v9
· 7 months ago
yolov8n_70epoch
v8
· 7 months ago
yolov8n_finetuned_matucana_2023-12-06 2-40am
v7
· 7 months ago
2023-12-05 7:40pm
v4
· 7 months ago
2023-11-22 8:37pm
v3
· 7 months ago
2023-11-22 3:39pm
v2
· 7 months ago
2023-11-21 3:28pm
v1
· 7 months ago
v9
2023-12-10 4:30pm
Generated on Dec 10, 2023
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.
1982 Total Images
View All Images
Dataset Split
Train Set 89%
1758Images
Valid Set 8%
152Images
Test Set 4%
72Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
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