movememl2 Dataset
Versions
2023-04-03 9:59am
v14
· a year ago
2023-04-03 9:57am
v13
· a year ago
2023-03-28 1:27pm
v12
· a year ago
MoveMeMLv11
v11
· a year ago
2023-03-28 11:19am
v10
· a year ago
2023-03-27 3:10pm
v8
· a year ago
2023-03-26 8:52pm
v6
· a year ago
2023-03-26 4:32pm
v3
· a year ago
2023-03-26 2:23pm
v1
· a year ago
v6
2023-03-26 8:52pm
Generated on Mar 27, 2023
Popular Download Formats
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
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11809 Total Images
View All Images
Dataset Split
Train Set 93%
10986Images
Valid Set 4%
509Images
Test Set 3%
314Images
Preprocessing
Modify Classes: 36 remapped, 7 dropped
Augmentations
Outputs per training example: 5
Bounding Box: Noise: Up to 1% of pixels