Dataset Versions
Versions
second exp augmented data
v26
· 2 years ago
first exp without anything
v25
· 2 years ago
last version
v24
· 2 years ago
V22-mosiac augmantation
v22
· 3 years ago
V20-grayScale-final-version
v20
· 3 years ago
V19-grayScale
v19
· 3 years ago
data-with-no-preprocessing
v15
· 3 years ago
V10-grayScale
v10
· 3 years ago
V9-grayScale
v9
· 3 years ago
V6-contrast-grayScale--2-1-tile
v6
· 3 years ago
V4-contrast-grayScale
v5
· 3 years ago
V3-with-preprcessing-teq
v3
· 3 years ago
V2-with-augmanted-data
v2
· 3 years ago
V1
v1
· 3 years ago
v22
V22-mosiac augmantation
Generated on May 21, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
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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620 Total Images
View All Images
Dataset Split
Train Set 87%
540Images
Valid Set 8%
52Images
Test Set 5%
28Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Mosaic: Applied