Dataset Versions
Versions
2023-07-12 9:43am
v9
· a year ago
2023-07-12 9:41am
v8
· a year ago
2023-07-12 9:39am
v7
· a year ago
2023-07-12 9:16am
v6
· a year ago
2023-07-12 9:09am
v5
· a year ago
2023-07-12 8:57am
v4
· a year ago
2023-07-12 8:15am
v3
· a year ago
2023-07-12 8:12am
v2
· a year ago
2023-07-12 8:01am
v1
· a year ago
v6
2023-07-12 9:16am
Generated on Jul 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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10452 Total Images
View All Images
Dataset Split
Train Set 87%
9141Images
Valid Set 8%
875Images
Test Set 4%
436Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Noise: Up to 8% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 7% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%