Rocket Detect Image Dataset
Versions
2023-06-20 10:43pm
v37
Jun 21, 2023
2023-04-18 12:45pm
v36
Apr 18, 2023
2023-04-13 9:47am
v35
Apr 13, 2023
2023-04-06 12:28pm
v34
Apr 6, 2023
2023-01-17 8:29pm
v33
Jan 18, 2023
2023-01-10 7:38pm
v32
Jan 11, 2023
2023-01-03 10:21am
v31
Jan 3, 2023
2022-12-08 8:49pm
v30
Dec 9, 2022
2022-11-25 1:15pm
v29
Nov 25, 2022
2022-11-19 7:44pm
v28
Nov 20, 2022
2022-11-18 10:43pm
v27
Nov 19, 2022
2022-11-18 10:36pm
v26
Nov 19, 2022
2022-10-25 10:15pm
v25
Oct 26, 2022
2022-10-24 9:15pm
v24
Oct 25, 2022
2022-10-24 6:03pm
v23
Oct 25, 2022
2022-10-24 10:05am
v22
Oct 24, 2022
2022-10-23 9:19pm
v21
Oct 24, 2022
2022-10-23 8:15pm
v20
Oct 24, 2022
2022-10-22 8:55pm
v19
Oct 23, 2022
2022-10-22 1:53pm
v18
Oct 22, 2022
2022-10-21 10:33pm
v17
Oct 22, 2022
2022-10-21 12:23am
v16
Oct 21, 2022
2022-10-20 5:39pm
v15
Oct 21, 2022
2022-10-19 11:02pm
v14
Oct 20, 2022
2022-10-19 5:32pm
v13
Oct 20, 2022
2022-10-19 5:31pm
v12
Oct 20, 2022
2022-10-19 2:23pm
v11
Oct 19, 2022
2022-10-18 10:43pm
v10
Oct 19, 2022
2022-10-18 6:38pm
v9
Oct 19, 2022
2022-10-18 5:07pm
v8
Oct 19, 2022
2022-10-18 3:56pm
v7
Oct 18, 2022
2022-10-17 9:43pm
v6
Oct 18, 2022
2022-10-17 9:17pm
v5
Oct 18, 2022
2022-10-17 7:52pm
v4
Oct 18, 2022
2022-10-17 6:03pm
v3
Oct 18, 2022
2022-10-17 3:36pm
v2
Oct 17, 2022
2022-10-17 2:16pm
v1
Oct 17, 2022
v37
2023-06-20 10:43pm
Generated on Jun 21, 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
Choose another format.
28149 Total Images
View All Images
Dataset Split
Train Set 87%
24435Images
Valid Set 9%
2428Images
Test Set 5%
1286Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x360
Augmentations
Outputs per training example: 3
Rotation: Between -3° and +3°
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