Dataset Versions
Versions
2022-12-09 8:37am
v56
· 2 years ago
2022-12-09 8:13am
v54
· 2 years ago
2022-11-29 9:22am
v52
· 2 years ago
2022-11-29 9:20am
v51
· 2 years ago
2022-11-28 9-18pm_ex_br_bl_ns
v50
· 2 years ago
2022-11-28 7-36pm_r_crop
v48
· 2 years ago
2022-11-28 7-35pm_ex_cp_bl
v46
· 2 years ago
2022-11-28 7-32pm_ex_br_bl_ns
v45
· 2 years ago
2022-11-28 7-08pm_r_ex_br_bl
v44
· 2 years ago
2022-11-28 6-38pm_r_exposure
v43
· 2 years ago
2022-11-28 6-34pm_r_bright
v42
· 2 years ago
2022-11-28 6-19pm_r_noise
v41
· 2 years ago
2022-11-28 6-08pm_r2_blur
v40
· 2 years ago
2022-11-28 5-25pm_smaller
v35
· 2 years ago
2022-11-28 5-21pm_exposure
v33
· 2 years ago
2022-11-28 5-19pm_hue
v32
· 2 years ago
2022-11-28 5-16pm_bright
v31
· 2 years ago
2022-11-28 5-15pm_blur
v30
· 2 years ago
2022-11-28 5-06pm_noise
v28
· 2 years ago
2022-11-28 4-52pm_resize
v23
· 2 years ago
2022-11-28 4-46pm_split2
v22
· 2 years ago
2022-11-28 4-11pm_split2
v20
· 2 years ago
2022-11-28 3:44pm
v18
· 2 years ago
2022-11-28 3-43pm_split1
v17
· 2 years ago
2022-11-23 6:52pm
v16
· 2 years ago
2022-11-23 5:46pm
v14
· 2 years ago
2022-11-22 5:21pm
v9
· 2 years ago
2022-11-22 5-03pm - too large
v8
· 2 years ago
2022-11-22 4:48pm
v7
· 2 years ago
2022-11-22 10:55am
v2
· 2 years ago
2022-10-03 5:10pm
v1
· 2 years ago
v2
2022-11-22 10:55am
Generated on Nov 22, 2022
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.
162 Total Images
View All Images
Dataset Split
Train Set 85%
138Images
Valid Set 7%
11Images
Test Set 8%
13Images
Preprocessing
Resize: Stretch to 1025x1025
Augmentations
Outputs per training example: 3
Brightness: Between -30% and +30%
Blur: Up to 1.25px
Noise: Up to 10% of pixels