Dataset Versions
Versions
2023-06-22 4:09pm
v9
· a year ago
2023-06-14 9:57am
v8
· a year ago
2023-06-13 5:20pm
v7
· a year ago
2023-06-13 11:49am
v6
· a year ago
2023-06-12 10:45am
v5
· a year ago
2023-06-11 2:33pm
v4
· a year ago
2023-06-09 6:13pm
v3
· a year ago
2023-06-08 8:39pm
v2
· a year ago
2023-06-08 10:39am
v1
· a year ago
v5
2023-06-12 10:45am
Generated on Jun 12, 2023
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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3727 Total Images
View All Images
Dataset Split
Train Set 95%
3528Images
Valid Set 5%
199Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -35% and +35%
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Bounding Box: Exposure: Between -25% and +25%