Dataset Versions
Versions
2023-09-07 10:15pm
v37
· a year ago
2023-08-30 2:46pm
v36
· a year ago
2023-07-26 2:36pm
v35
· a year ago
2023-07-20 3:35pm
v34
· a year ago
2023-07-18 6:43pm
v33
· a year ago
2023-07-18 1:24pm
v32
· a year ago
2023-07-18 1:08pm
v31
· a year ago
2023-07-18 11:27am
v30
· a year ago
2023-07-17 4:02pm
v29
· a year ago
2023-07-17 3:58pm
v28
· a year ago
2023-07-17 10:36am
v27
· a year ago
2023-07-14 5:01pm
v26
· a year ago
2023-07-13 1-42pm
v25
· a year ago
2023-07-12 3:32pm
v24
· a year ago
2023-07-12 10:48am
v23
· a year ago
2023-07-12 10:43am
v22
· a year ago
2023-07-11 6:14pm
v21
· a year ago
2023-07-10 6:01pm
v20
· a year ago
2023-07-10 5:59pm
v19
· a year ago
2023-07-10 5:41pm
v18
· a year ago
2023-07-10 10:09am
v17
· a year ago
2023-07-05 5:51pm
v16
· a year ago
2023-07-05 12:48pm
v15
· a year ago
2023-07-04 4:38pm
v14
· a year ago
2023-07-04 3:44pm
v13
· a year ago
2023-06-29 11:27pm
v12
· a year ago
2023-06-29 11:16am
v11
· a year ago
2023-06-27 11:44pm
v10
· a year ago
2023-06-27 10:53pm
v9
· a year ago
2023-06-26 3:27pm
v8
· a year ago
2023-06-26 2:11pm
v7
· a year ago
2023-06-26 10:53am
v6
· a year ago
2023-06-21 4:30pm
v5
· 2 years ago
2023-06-21 4:23pm
v4
· 2 years ago
2023-06-21 4:01pm
v3
· 2 years ago
2023-06-21 3:20pm
v2
· 2 years ago
2023-06-21 2:28pm
v1
· 2 years ago
v24
2023-07-12 3:32pm
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
Choose another format.
1241 Total Images
View All Images
Dataset Split
Train Set 87%
1080Images
Valid Set 8%
96Images
Test Set 5%
65Images
Preprocessing
Modify Classes: 55 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Grayscale: Apply to 69% of images
Hue: Between -113° and +113°
Brightness: Between -47% and +47%
Exposure: Between -38% and +38%
Noise: Up to 1% of pixels