Dataset Versions
Versions
April7_STNPLD_allclass
v8
· 3 years ago
2022-03-24 4:10pm
v7
· 3 years ago
2022-01-24_STNPLAD_insulator_5_5_tile
v6
· 3 years ago
2022-01-24_STNPLAD_smallobj_4_4tile
v5
· 3 years ago
2022-01-24_STNPLAD_tower_insulator_1_2tile
v4
· 3 years ago
2022-01-24_STNPLAD_4tiled
v2
· 3 years ago
2022-01-13_STNPLAD_4tiled
v1
· 3 years ago
v4
2022-01-24_STNPLAD_tower_insulator_1_2tile
Generated on Jan 24, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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798 Total Images
View All Images
Dataset Split
Train Set 100%
798Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Tile: 1 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Saturation: Between -51% and +51%
Brightness: Between -10% and +10%
Mosaic: Applied