Dataset Versions
Versions
2024-04-10 8:17pm
v13
· 8 months ago
2024-04-10 7:51pm
v12
· 8 months ago
2024-04-10 7:08pm
v11
· 8 months ago
correct_annot
v9
· 8 months ago
2024-04-02 4:01pm
v8
· 8 months ago
2024-04-01 7:39pm
v6
· 8 months ago
2024-03-28 6:36pm
v5
· 8 months ago
2024-03-28 6:04pm
v4
· 8 months ago
2024-03-25 11:45am
v2
· 9 months ago
v5
2024-03-28 6:36pm
Generated on Mar 28, 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.
Other Formats
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3275 Total Images
View All Images
Dataset Split
Train Set 87%
2850Images
Valid Set 10%
325Images
Test Set 3%
100Images
Preprocessing
Grayscale: Applied
Tile: 5 rows x 5 columns
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 23% of images
Blur: Up to 2.5px
Cutout: 5 boxes with 3% size each