Dataset Versions
Versions
original-dataset
v72
· a year ago
Jafar2
v71
· a year ago
Jafar
v70
· a year ago
rrs
v69
· 2 years ago
Yazan
v64
· 2 years ago
MSM-team
v61
· 2 years ago
laith
v58
· 2 years ago
AA
v52
· 2 years ago
project
v47
· 2 years ago
SMM2
v43
· 2 years ago
2023-05-26 4:22pm
v42
· 2 years ago
Aya Mahasneh
v35
· 2 years ago
Odai absi
v31
· 2 years ago
Adan - Sawsan
v29
· 2 years ago
Version 13
v13
· 2 years ago
Cv
v10
· 2 years ago
Tareef
v8
· 2 years ago
2023-05-24 9:59pm
v5
· 2 years ago
v52
AA
Generated on May 27, 2023
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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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2701 Total Images
View All Images
Dataset Split
Train Set 90%
2421Images
Valid Set 6%
172Images
Test Set 4%
108Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 604x604
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -45% and +45%
Blur: Up to 1.25px
Cutout: 5 boxes with 15% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Noise: Up to 5% of pixels