Dataset Versions
Versions
2023-07-18 9:47am
v12
· a year ago
2023-07-04 9:58am
v11
· a year ago
2023-06-28 4:14pm
v10
· a year ago
2023-06-28 2:31pm
v9
· a year ago
2023-06-28 2:26pm
v8
· a year ago
2023-06-28 10:43am
v7
· a year ago
2023-06-28 10:30am
v6
· a year ago
2023-06-27 4:04pm
v5
· a year ago
2023-06-27 10:18am
v4
· a year ago
2023-06-27 10:15am
v3
· a year ago
2023-06-25 8:47pm
v2
· a year ago
2023-06-19 11:52am
v1
· a year ago
v3
2023-06-27 10:15am
Generated on Jun 27, 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
Choose another format.
4368 Total Images
View All Images
Dataset Split
Train Set 86%
3744Images
Valid Set 8%
340Images
Test Set 7%
284Images
Preprocessing
Isolate Objects: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 44% Maximum Zoom
Blur: Up to 6.25px
Noise: Up to 8% of pixels
Cutout: 5 boxes with 5% size each
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