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
v42
2023-05-26 4:22pm
Generated on May 26, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1598 Total Images
View All Images
Dataset Split
Train Set 88%
1401Images
Valid Set 8%
122Images
Test Set 5%
75Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 604x604
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 0% of images
Brightness: Between -30% and +30%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 18% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical