Dataset Versions
Versions
dataset puro
v20
· 2 years ago
2022-06-28 9:12pm
v19
· 2 years ago
2022-06-28 6:34pm
v18
· 2 years ago
2022-06-28 6:27pm
v17
· 2 years ago
oficialofiacial2
v14
· 2 years ago
oficial1
v10
· 2 years ago
2022-06-28 2:47pm
v9
· 2 years ago
2022-06-28 4:15am
v8
· 2 years ago
2022-06-27 9:57pm
v7
· 2 years ago
2022-06-27 7:15pm
v6
· 2 years ago
2022-06-27 4:10pm
v4
· 2 years ago
2022-06-27 5:16am
v3
· 2 years ago
2022-06-27 3:45am
v2
· 2 years ago
2022-06-27 3:03am
v1
· 2 years ago
v7
2022-06-27 9:57pm
Generated on Jun 28, 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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1513 Total Images
View All Images
Dataset Split
Train Set 92%
1392Images
Valid Set 7%
100Images
Test Set 1%
21Images
Preprocessing
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±8° Horizontal, ±8° Vertical
Blur: Up to 1.25px
Noise: Up to 2% of pixels