Dataset Versions
Versions
2024-11-13 1:51pm
v10
· a day ago
2024-11-12
v9
· 2 days ago
2024-10-23 3:45am
v8
· 23 days ago
without_resize_saturation
v7
· 3 months ago
with_size_saturation
v6
· 3 months ago
with_resize
v5
· 3 months ago
without_resize
v4
· 3 months ago
2024-08-18 5:03am
v3
· 3 months ago
2024-08-16 10:55am
v2
· 3 months ago
2024-08-14 6:16pm
v1
· 3 months ago
v10
2024-11-13 1:51pm
Generated on Nov 13, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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1904 Total Images
View All Images
Dataset Split
Train Set 88%
1671Images
Valid Set 8%
157Images
Test Set 4%
76Images
Preprocessing
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 21% of images
Saturation: Between -25% and +25%