Dataset Versions
Versions
2022-08-18 9:46am
v29
· 2 years ago
2022-05-12 2:35pm
v28
· 3 years ago
2022-05-12 1:59pm
v27
· 3 years ago
2022-05-12 1:36pm
v26
· 3 years ago
2022-05-12 11:40am
v25
· 3 years ago
2021-12-21 1:11pm
v24
· 3 years ago
2021-11-04 10:53am
v23
· 3 years ago
2021-11-04 10:53am
v22
· 3 years ago
2021-10-21 9:09am
v21
· 3 years ago
2021-10-21 9:06am
v20
· 3 years ago
2021-10-21 8:15am
v19
· 3 years ago
2021-10-20 4:10pm
v18
· 3 years ago
2021-10-20 4:10pm
v17
· 3 years ago
2021-10-20 3:36pm
v16
· 3 years ago
2021-10-20 11:57am
v15
· 3 years ago
2021-10-18 2:37pm
v14
· 3 years ago
2021-10-17 10:16am
v13
· 3 years ago
2021-10-14 3:06pm
v12
· 3 years ago
2021-10-12 9:32am
v11
· 3 years ago
2021-09-30 2:23pm
v10
· 3 years ago
2021-09-21 1:10pm
v9
· 3 years ago
2021-09-20 3:41pm
v8
· 3 years ago
2021-09-16 12:50pm
v7
· 3 years ago
2021-09-15 3:00pm
v6
· 3 years ago
2021-09-15 11:36am
v5
· 3 years ago
2021-09-14 2:27pm
v4
· 3 years ago
2021-09-14 10:43am
v3
· 3 years ago
2021-09-14 9:38am
v2
· 3 years ago
2021-09-13 2:34pm
v1
· 3 years ago
v6
2021-09-15 3:00pm
Generated on Sep 15, 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.
146 Total Images
View All Images
Dataset Split
Train Set 79%
116Images
Valid Set 21%
30Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
No augmentations were applied.