Dataset Versions
Versions
Blur -3px- Brightness -30-
v19
· a year ago
Blur - 4px
v17
· a year ago
Brightness - 40
v16
· a year ago
Without Preprocessing More train
v15
· a year ago
Blur - 3.5 More train
v12
· a year ago
Brightness - 25
v11
· a year ago
Brightness - 35
v10
· a year ago
Blur - 2.5
v9
· a year ago
Blur - 3.5
v8
· a year ago
Brightness - 30
v7
· a year ago
Adaptive Equalization
v6
· a year ago
Blur -3
v5
· a year ago
20- Saturation
v4
· a year ago
Without Preprocessing
v3
· a year ago
Contrast
v2
· a year ago
v19
Blur -3px- Brightness -30-
Generated on Oct 10, 2023
Popular Download Formats
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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1085 Total Images
View All Images
Dataset Split
Train Set 89%
971Images
Valid Set 5%
57Images
Test Set 5%
57Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -30% and +30%
Blur: Up to 3px