Lineas Combinadas Image Dataset
Versions
2023-08-31 10:23am
v9
Aug 31, 2023
2023-08-30 12:55pm
v8
Aug 30, 2023
2023-08-30 12:47pm
v7
Aug 30, 2023
2023-08-29 4:28pm
v6
Aug 29, 2023
2023-08-29 12:19pm
v5
Aug 29, 2023
2023-08-29 2:47am
v4
Aug 29, 2023
2023-08-28 1:41pm
v3
Aug 28, 2023
2023-08-25 5:36pm
v2
Aug 25, 2023
2023-08-24 1:59pm
v1
Aug 24, 2023
v1
2023-08-24 1:59pm
Generated on Aug 24, 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.
696 Total Images
View All Images
Dataset Split
Train Set 91%
630Images
Valid Set 9%
66Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Grayscale: Apply to 4% of images
Hue: Between -14° and +14°
Saturation: Between -23% and +23%
Brightness: Between -9% and +9%
Exposure: Between -8% and +8%
Blur: Up to 2px
Cutout: 5 boxes with 6% size each
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