Dataset Versions
Versions
2022-01-23 7:38pm
v41
· 3 years ago
2022-01-23 7:38pm
v40
· 3 years ago
2022-01-23 4:58pm
v39
· 3 years ago
2022-01-23 4:56pm
v38
· 3 years ago
2022-01-23 4:55pm
v37
· 3 years ago
2022-01-23 4:54pm
v36
· 3 years ago
2022-01-23 4:50pm
v35
· 3 years ago
2022-01-23 4:49pm
v34
· 3 years ago
2022-01-23 4:48pm
v33
· 3 years ago
2022-01-23 4:48pm
v32
· 3 years ago
2022-01-23 4:37pm
v31
· 3 years ago
2022-01-23 4:25pm
v30
· 3 years ago
2022-01-23 4:24pm
v29
· 3 years ago
2022-01-23 4:23pm
v28
· 3 years ago
2022-01-23 4:22pm
v27
· 3 years ago
2022-01-20 11:06pm
v26
· 3 years ago
2022-01-20 11:06pm
v25
· 3 years ago
2022-01-20 11:04pm
v24
· 3 years ago
2022-01-20 11:04pm
v23
· 3 years ago
2022-01-20 11:04pm
v22
· 3 years ago
2022-01-20 11:04pm
v21
· 3 years ago
2022-01-20 11:03pm
v20
· 3 years ago
2022-01-20 8:58am
v18
· 3 years ago
2022-01-20 8:56am
v17
· 3 years ago
2022-01-20 8:56am
v16
· 3 years ago
2021-10-30 1:57pm
v15
· 3 years ago
2021-10-30 11:49am
v14
· 3 years ago
2021-10-17 9:01pm
v13
· 3 years ago
2021-10-10 12:29pm
v12
· 3 years ago
2021-10-08 6:52pm
v9
· 3 years ago
2021-10-08 8:11am
v8
· 3 years ago
2021-10-07 6:39pm
v7
· 3 years ago
2021-10-07 6:21pm
v6
· 3 years ago
2021-10-07 4:02pm
v5
· 3 years ago
2021-10-07 3:00pm
v4
· 3 years ago
2021-10-07 9:30am
v3
· 3 years ago
2021-10-07 9:28am
v2
· 3 years ago
v5
2021-10-07 4:02pm
Generated on Oct 7, 2021
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.
387 Total Images
View All Images
Dataset Split
Train Set 85%
330Images
Valid Set 15%
57Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -2° and +2°
Shear: ±1° Horizontal, ±5° Vertical
Grayscale: Apply to 11% of images
Exposure: Between -25% and +25%
Blur: Up to 2px
Bounding Box: Blur: Up to 2.25px