Dataset Versions
Versions
2024-10-14 8:05pm
v35
· 2 months ago
2024-05-04 1:00pm
v34
· 8 months ago
2024-04-10 8:41pm
v33
· 9 months ago
2024-04-08 6:09pm
v32
· 9 months ago
2024-04-07 9:22pm
v31
· 9 months ago
2024-04-06 3:35pm
v30
· 9 months ago
2024-03-07 11:08pm
v29
· 10 months ago
2024-03-07 10:31pm
v28
· 10 months ago
2024-03-04 5:39pm
v27
· 10 months ago
2024-03-03 8:04pm
v26
· 10 months ago
2024-02-16 10:32am
v25
· 10 months ago
2023-12-29 8:24pm
v24
· a year ago
2023-12-27 10:47pm
v23
· a year ago
2023-12-23 4:19pm
v22
· a year ago
2023-12-20 4:36pm
v21
· a year ago
2023-12-17 5:15pm
v20
· a year ago
2023-12-07 5:44pm
v19
· a year ago
2023-11-30 9:30pm
v18
· a year ago
2023-11-30 9:28pm
v17
· a year ago
2023-11-24 10:07pm
v16
· a year ago
2023-11-24 9:44pm
v15
· a year ago
2023-11-19 1:41pm
v14
· a year ago
2023-11-19 1:29pm
v13
· a year ago
2023-11-16 10:55pm
v12
· a year ago
2023-11-16 10:52pm
v11
· a year ago
2023-11-16 8:41pm
v10
· a year ago
2023-11-11 1:24pm
v9
· a year ago
2023-11-06 5:49pm
v8
· a year ago
2023-11-05 12:43am
v7
· a year ago
2023-11-02 6:24pm
v6
· a year ago
2023-10-31 9:38pm
v5
· a year ago
2023-10-31 12:49pm
v4
· a year ago
2023-10-30 7:31pm
v2
· a year ago
2023-10-28 7:22pm
v1
· a year ago
v10
2023-11-16 8:41pm
Generated on Nov 16, 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.
938 Total Images
View All Images
Dataset Split
Train Set 89%
837Images
Valid Set 8%
73Images
Test Set 3%
28Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Blur: Up to 2px
Bounding Box: Noise: Up to 5% of pixels