Dataset Versions
Versions
MF3_7_wet
v51
· 13 days ago
MF3_6_wet
v50
· 13 days ago
MF3_5_wet
v49
· 13 days ago
MF3_4_wet
v48
· 13 days ago
MF3_3_wet
v47
· 15 days ago
MF3_2_wet
v46
· 15 days ago
MF3_1_wet
v45
· 15 days ago
MF2_7_wet
v44
· 15 days ago
MF2_6_wet
v43
· 15 days ago
MF2_5_wet
v42
· 15 days ago
MF2_4_wet
v41
· 15 days ago
MF2_3_wet
v40
· 22 days ago
MF2_2_wet
v39
· 22 days ago
MF2_1_wet
v38
· 22 days ago
MF1_7_wet
v37
· 22 days ago
MF1_6_wet
v36
· 22 days ago
MF1_5_wet
v35
· 22 days ago
MF1_4_wet
v34
· 22 days ago
MF1_3_wet
v33
· 22 days ago
MF1_2_wet
v32
· 22 days ago
MF1_1_wet
v31
· 22 days ago
MF1_6
v30
· a year ago
MF3_7
v29
· a year ago
MF3_6
v28
· a year ago
2023-09-22 5:36pm
v27
· a year ago
MF3_5
v26
· a year ago
MF3_4
v25
· a year ago
MF3_3
v24
· a year ago
MF2_7
v23
· a year ago
MF2_6
v22
· a year ago
MF2_5
v21
· a year ago
MF2_4
v20
· a year ago
MF2_1
v19
· a year ago
MF1_7
v18
· a year ago
MF1_5
v17
· a year ago
MF1_4
v16
· a year ago
MF1_3
v15
· a year ago
MF3_1
v14
· a year ago
MF3_2
v13
· a year ago
MF2_3
v10
· a year ago
MF2_2
v8
· a year ago
MF1_2
v7
· a year ago
MF1_1
v4
· a year ago
v32
MF1_2_wet
Generated on Nov 5, 2024
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.
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32 Total Images
View All ImagesDataset Split
Train Set 100%
32Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Filter by Tag: 0 required, 42 dropped
Augmentations
No augmentations were applied.